Job Archives

Exp : 5 to 8 Years
Bangalore, Chennai
Posted 2 years ago

Job description

Job Description - Lead-Analytics

Responsibilities

  • Design and development of Analytics solutions with technologies ranging from Power BI,

Tableau, Microstrategy, etc.

  • Analyze the source system and design solutions accordingly
  • Work with client teams and gather & understand the requirements
  • Develop reusable, well structured and efficient code/jobs/reports based on the sources and

requirements

  • Work with the team and own the end to end responsibility of the project
  • Conduct and participate in team meetings and agile ceremonies
  • Follow the industry best practices in developing and unit testing the code built
  • Review the code built by team members ensure better quality of results
  • Actively analyze and resolve application based and technical queries
  • Conduct performance testing to ensure scalability
  • Support continuous improvement by identifying alternatives and technologies and

presenting these for architectural review

  • Participate in project planning / Scrum meetings
  • Follow standard coding practices like Source control, check-in, and check-out code
  • Prepare documentation, working with the team, as needed on the status, progress and

maintenance of applications

Ideal Candidate

  • Degree in Computer Science, MIS, IT or other related fields
  • Fluent in writing SQL (Oracle, MS SQL, MySQL or any other RDBMS)
  • Strong on Data modeling, and dimensional modeling
  • 7 years of relevant experience in any of Power BI, Tableau, Microstrategy or any other BI

tool

  • Certifications would be a plus
  • Tableau would be preferred
  • Good communication skills
  • R or Python would be a plus
  • High achiever in the past

Job Features

Job CategoryPower BI

Job description Job Description – Lead-Analytics Responsibilities Tableau, Microstrategy, etc. requirements presenting these for architectural review maintenance of applications Ideal Candidate ...

Exp : 4 to 7 Years
Bangalore, Chennai, Delhi, Hyderabad, Mumbai, Pune
Posted 2 years ago

Job description

  • As a Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies.
  • You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes.

Roles & Responsibilities

  • Engage with clients to understand current and future business goals and translate business problems into analytical frameworks
  • Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs
  • Create repeatable, interpretable and scalable models
  • Effectively communicate the analytics approach and insights to a larger business audience
  • Collaborate with team members, peers and leadership at Tredence and client companies

Qualification & Experience

  1. Bachelors or Masters degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.
  2. 4+ years of experience in data science, building hands-on ML models
  3. Experience leading the end-to-end design, development, and deployment of predictive modeling solutions.
  4. Excellent programming skills in Python. Strong working knowledge of Python s numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.
  5. Advanced SQL skills with SQL Server and Spark experience.
  6. Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks
  7. Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling.
  8. Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment
  9. Experience with data visualization tools PowerBI, Tableau, R Shiny, etc. preferred
  10. Experience with cloud platforms such as Azure, AWS is preferred but not required.

Job Features

Job CategoryData Science

Job description Roles & Responsibilities Qualification & Experience

Exp : 4 to 7 Years
Bangalore, Chennai, Delhi, Hyderabad, Mumbai, Pune
Posted 2 years ago

Job description

Permanently work from home.

US SHIFT 3:00 PM TO 12:00 AM IST

- You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

- As a machine learning engineer, you should demonstrate solid data science knowledge and experience.

- A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive models.

Responsibilities :

- Consulting with the manager to determine and refine machine learning objectives.

- Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models.

- Transforming data science prototypes and applying appropriate ML algorithms and tools.

- Ensuring that algorithms generate accurate user recommendations.

- Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning - libraries and frameworks.

- Developing ML algorithms to analyze huge volumes of historical data to make predictions.

- Stress testing, performing statistical analysis, and interpreting test results for all market conditions.

- Documenting machine learning processes.

- Keeping abreast of developments in machine learning.

Requirements :

- Bachelor's degree in computer science, data science, mathematics, or a related field.

- A Master's degree in computational linguistics, data science, data analytics, or similar will be advantageous.

- At least two years of experience as a machine learning engineer.

- Advanced proficiency with Python, Java, and R code.

- Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.

- In-depth knowledge of mathematics, statistics, and algorithms.

- Superb analytical and problem-solving abilities.

- Great communication and collaboration skills.

- Excellent time management and organizational abilities.

Job Features

Job CategoryData Science

Job description Permanently work from home. US SHIFT 3:00 PM TO 12:00 AM IST – You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data se...

Exp : 2 to 4 Years
Bangalore, Chennai, Delhi, Hyderabad, Pune
Posted 2 years ago

Job description

Key Responsibilities:

Collaborate with business and product team in conceptualising, designing, and managing data-driven projects as business/product roadmap.
Works to design, develop and validate data science (analytical/data mining/ML/AI) models to meet the product requirements.
Gather, evaluate and document requirements, and conceptualise analytical solutions to business problems.
Ability to deploy analytical algorithms as part of a larger product/business application.
Ability to effectively visualise data and communicate results of data analysis & analytical models.
Develop processes and tools for data cleansing, transformation, and other data preparation as required for the algorithms.
Collaborate with data and tech teams to ensure adherence to data ingestion and data governance standards.
Conduct root cause analysis for model/product feature inaccuracies and propose improved approach/algorithms.
To execute all of the above the following Techno and Functional expertise is required.

Techno-Functional Expertise Required:

5-8 years of experience in a core data science role with problem-solving and applied research bent of mind with exposure to IPs and Patents creations.
Ability to implement the off-the-shelf libraries and customise them.
5+ experience in knowledge discovery, exploratory data analysis, and custom algorithm developments.
Hands-on experience with machine learning and data mining algorithms such as decision trees, classifiers, clustering, and regression.
Strong experience with working on large data sets and developing scalable algorithms.
Strong mathematical, analytical, and problem-solving skills.
Excellent business understanding and experience with retail/CPG/eCommerce is a plus.
Excellent presentation and communication skills.

Experience : - 2-4 years
Location : - Bangalore, Chennai, Noida, Mumbai, Pune, Assam, manipur, Sikkim, Pondicherry, Coimbatore, Mysure, Hyderabad, Andra Pradesh, Delhi, Gurgaon, Chandigarh, Jaipur, Kota, Uttrakhand, Bihar, Sikkim, AP, MP, UP, karnataka, Nagaland, Manipur, Uttrakhand, Bihar, West Bengal

Job Features

Job CategoryData Science

Job description Key Responsibilities: Collaborate with business and product team in conceptualising, designing, and managing data-driven projects as business/product roadmap.Works to design, develop a...

Exp : 2 to 7 Years
Bangalore, Chennai, Hyderabad, Pune
Posted 2 years ago

Job description

In Global Data, Insight & Analytics (GDI&A), we aspire to navigate Ford Motor Company through the disruptiveness of the information age, harnessing the power of data and artificial intelligence to realize the enterprises known goals, reveal hidden opportunities, and achieve data superiority.

The Charging-Analytics-As-a-Service (CAAS) team under Strategy & Enterprise Analytics in GDI&A supports analytical solutions and insights across the enterprise in areas like Charging Data Services, Electric Vehicle Location Aggregator, Advanced Feature Engineering, BCCA, BEV Charging on the Go. The Data Scientist discovers and curates new and existing data sources to create insights for the business. This is an exciting opportunity to utilize the latest tools and methods in Statistics, Big Data, and Data Science to solve a variety of business problems.

The role spans the full project lifecycle from analytic problem definition, through data gathering, analysis, model development, reporting/visualization development, testing, and operational deployment.

Responsibilities:

  • Acquire deep understanding of the business problems and translate them into appropriate business solutions
  • Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results
  • Drive development and delivery of analytic and statistical models using skills such as data acquisition and management, algorithm design, and model development & refinement
  • Work with business partners using a collaborative, agile approach to develop solutions rapidly that add value and are centered around the user experience.
  • Act as full stack data scientist to develop mathematical, analytical, optimization and/or AI/ML models to support evidence-based decision making. Ensure overall quality of the data & solutions throughout the analytic development process and support deploying them as end-to-end products on Google Cloud Platform
  • Examine, interpret and report analytical results in both written reports and in oral presentations to varied audiences.

Job Requirements:

Basic Qualifications:

  • Masters in Data Science, Computer Science, Electrical Engineering, Applied math, Mechanical Engineering, Information, or related quantitative field
  • 4+ years of experience in programming languages such as Python, Scala, Java
  • 3+ years of experience with one or more of the following tools: Data Gathering skills/tools (e.g., BigQuery, SQL, Hadoop, Spark, Teradata, etc.) and/or Visualization skills/tools (e.g., Qlik Sense, etc.)
  • 3+ years of experience in mathematical programming, data mining, statistical analysis, and/or machine learning
  • 1+ year of Google Cloud Platform (GCP) experience
  • Strong oral, written and interpersonal communication skills
  • Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations

Preferred Qualifications:

  • Ph.D. in Data Science, Computer Science, Electrical Engineering, Applied math, Mechanical Engineering, Information, or related quantitative field or 3+ years of industry experience in data science and analytics
  • EV charging domain experience desirable
  • 5+ years of experience in programming languages such as Python, Scala, Java,
  • 5+ years of experience in mathematical programming, data mining, statistical analysis, and/or machine learning
  • 2+ year of Google Cloud Platform (GCP) experience
  • Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling
  • Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms
  • Ability to drive results and handle multiple projects within a given timeframe
  • Well-organized, independent, and ready to work with minimal supervision
  • Inquisitive, proactive, and interested in learning new tools and techniques
  • Comfortable working in a fast-paced and innovative environment where problems are not always well-defined
  • Publications or presentations in recognized journals or conferences

Job Features

Job CategoryData Science

Job description In Global Data, Insight & Analytics (GDI&A), we aspire to navigate Ford Motor Company through the disruptiveness of the information age, harnessing the power of data and artifi...

Exp : 1 to 3 Years
Bangalore, Delhi, Hyderabad, Pune
Posted 2 years ago

Job description

We are looking for a Data Scientist, who will develop algorithms to make the Engine faster, smarter and scalable.

Responsibilities:

- Identify valuable data sources and automate collection processes

- Undertake preprocessing of structured and unstructured data

- Design, code, experiment and implement models and algorithms to maximize user experience, supply-side value, governance outcomes, and infrastructure readiness

- Analyze large amounts of information to discover trends and patterns

- Build predictive models and machine-learning algorithms

- Combine models through ensemble modeling

- Present information using data visualization techniques

- Propose solutions and strategies to business challenges

- Collaborate with engineering and product development teams

Qualifications:

- Tier 1 institutes candidates

- PhD, MS or Bachelors degree in, Statistics, Economics, Machine Learning, Operations, Research, Computer Science or other quantitative fields.

- Experience with exploratory data analysis, statistical analysis, and testing, and model development

- Ability to use a language like Python/R to work at scale with large data sets and tools like SQL, Hive, and SparkRole: 

Data Scientist

Industry Type: 

IT Services & Consulting

Department: 

Data Science & Analytics

Employment Type: 

Full Time, Permanent

Role Category: 

Data Science & Machine Learning

Education UG: 

BCA in Computers, B.A in Economics, Statistics, B.Tech/B.E. in Computers, B.Sc in Statistics, ComputersPG: 

M.A in Economics, Statistics, MBA/PGDM in Operations, MS/M.Sc(Science) in Statistics, Computers, MCA in Computers, MCM in Computers and Management, M.Tech in ComputersDoctorate: 

Ph.D/Doctorate in Statistics, Computers, Economics

Job Features

Job CategoryData Science

Job description We are looking for a Data Scientist, who will develop algorithms to make the Engine faster, smarter and scalable. Responsibilities: – Identify valuable data sources and automate ...

Exp : 1 to 5 Years
Bangalore, Chennai, Hyderabad, Pune
Posted 2 years ago

Job description

Responsibilities - What will you do:
Deploy and maintain our lab infrastructure on cloud platforms
Deploy updates and fixes
Debug production issues in infrastructure and perform root cause analysis for production errors
Provide Level 2 technical support
Build tools to reduce occurrences of errors and improve customer experience
Develop and maintain automation framework using Terraform, Ansible, and Shell scripts
Develop lab environments using Docker and Kubernetes
Design procedures for system troubleshooting and maintenance

Must have:
Expertise in Linux System’s Administration
Good knowledge of DevOps tools like - Docker, Kubernetes, and Terraform
Knowledge of Scripting and JSON PATH
Excellent Written Communication Skills
Must be open to reviewing and improving lab content

Good to have:
Knowledge of Python is an advantage
Training & presentation skills experience is an advantage
KodeKloud is an equal opportunity employer, and we aim to develop our employees to be successful and move on into higher positions over time.

Benefits- Why us
Performance appraisal twice a year
Exceptional learning & growth opportunities
Work with a culturally diverse team from different geographies

Location : - Bangalore, Chennai, Noida, Mumbai, Pune, Assam, manipur, Sikkim, Pondicherry, Coimbatore, Mysure, Hyderabad, Andra Pradesh, Delhi, Gurgaon, Chandigarh, Jaipur, Kota, Uttrakhand, Bihar, Sikkim, AP, MP, UP, karnataka, Nagaland, Manipur, Uttrakhand, Bihar, West BengalRole: 

DevOps Engineer

Industry Type: 

Education / Training

Department: 

Engineering - Software & QA

Employment Type: 

Full Time, Permanent

Role Category: 

DevOps

EducationUG: 

Any Graduate

PG: 

Any Postgraduate Doctorate: 

Doctorate Not Required

Job Features

Job CategoryData Science

Job description Responsibilities – What will you do:Deploy and maintain our lab infrastructure on cloud platformsDeploy updates and fixesDebug production issues in infrastructure and perform roo...

Exp : 3 to 5 Years
Bangalore, Chennai, Hyderabad, Pune
Posted 2 years ago

Job description

Duties and Responsibilities:

  • Kubernetes System Administration in a DevOps CI/CD pipeline
  • End-to-end Implementation of the Kubernetes architecture - installation, configuration,

hardening, networking, etc.

  • Implementing multiple Kubernetes masters for high availability
  • Configuring persistent storage for Kubernetes clusters/pods, utilizing best practices,

configuring NFS, persistent volumes, persistent volume claims for state persistence, etc

  • Configuring Kubernetes auto provisioning, and auto scaling of CI/CD job/build

agents/runners/nodes

  • Cluster sizing and scaling
  • Implement Kubernetes services and Network Policies
  • Network Encryption between Kubernetes clients such as kubectl, Kubernetes masters

and nodes

  • Ability to work as individual contributor as well as with the team technically in

accomplishing tasks

  • Flexibility in switching roles to accomplish timelines by taking up multiple

responsibilities

Skills Required : Overall validated experience:

  • BE/BTech/ME/M Tech in ECE/CS with 3+ years of relevant proven experience in devops
  • Good hands-on experience in the Kubernetes System Administration
  • Good knowledge on end-to-end Implementation of the Kubernetes architecture
  • Experience in cloud-based provisioning, monitoring, and troubleshooting (preferably

AWS or Azure) applications

  • Experience with containerization (docker & Kubernetes), cloud technologies, tools

(Jenkins, Bamboo) and practices (CI/CD patterns, automated provisioning & release)

  • Strong knowledge in at least one scripting language, preferably Python/Golang

Role: 

DevOps Engineer

Industry Type: 

IT Services & Consulting

Department: 

Engineering - Software & QA

Employment Type: 

Full Time, Permanent

Role Category: 

DevOps

EducationUG: 

B.Tech/B.E. in Any Specialization

Job Features

Job CategoryDevOps

Job description Duties and Responsibilities: hardening, networking, etc. configuring NFS, persistent volumes, persistent volume claims for state persistence, etc agents/runners/nodes and nodes accompl...

Bangalore, Chennai, Hyderabad, Pune
Posted 2 years ago

Job description

Data Scientist/ Senior Data Scientist/ Manager Data Scientist/ Team Lead Data scientist/ Principle data Scientist

We are looking for a Data Scientist to join our growing Data Team to support our internal stakeholders such as brand marketing teams, Business Decision makers, Sales and Merchandizing team etc. with data driven insights and products. This hire will be responsible for building various analytical models to optimize decision making within the organization across various departments.

- He/she must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams.

- The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. The ideal candidate will have at least 1+ years of hands on experience in building Data Science models in projects involving large and complex data in retail ecosystem.

Responsibilities :

- Work with internal stakeholders throughout the organization to identify opportunities for solving various business use cases leveraging company data.

- Building and deploying Markdown Optimization model to help the Merchandizing team to optimize product sales.

- Building and deploying sophisticated Demand forecasting models to increase accuracy of supply decisions.

- Developing Price Sensitivity analysis for optimizing footfall, conversion and turnover during promotions.

- Building and deploying Churn Prediction and Customer Lifetime Value Model to help the brands in better retention of Loyal and potential customers.

- Building RFM model and various customer profiling based on attributes such as transactional behavior, affluency and cross-brand engagement within the company ecosystem etc.

- Developing detailed store performance analysis to optimize staff allocation and product allocation.

- Building Market Basket algorithms to drive successful cross-category campaigns, product bundling, stock handling and item arrangement patterns.

- Building API based solutions for supporting or recommending store opening decisions.

- Creating customer cohorts based on tracked footprint of a customer across various internal brands.

- Assess effectiveness and accuracy of new data sources and data gathering techniques and also raise request for relevant data attributes to successfully build and deliver an analytical project.

- Use analytical approach to drive customer loyalty, new acquisitions, better retention and cross-brand engagement.

- Support the organization in driving promotional/non-promotional marketing campaigns through analytics driven approach and measuring campaign effectiveness through scientific method of calculating incremental ROI.

- Coordinate with different functional teams to implement models and monitor outcomes.

- Develop processes and tools to monitor and analyze model performance and data accuracy.

- Collaborating closely with the Data Engineering and BI team to build a seamless workflow.

Qualifications :

- Strong problem-solving skills with an emphasis on resolving real life business use cases.

- Proficient in understanding and implementing machine learning algorithms.

- Working experience in data mining techniques like Logistic Regression, Multivariate Analysis, Decision Tree, Random Forest, K-means, Support Vector method, Neural Network, ARIMA, GARCH Model, Text Mining, NLP etc. with their real-world advantages/drawbacks.

- Proficient scripting in programming language like Python, PySpark, Scala, SQL etc.

- Exposure to using tools like SAS Enterprise Miner, IBM Watson Studio, Microsoft Azure ML Studio, DataRobot, DataIku are preferred.

- A drive and ability to quickly learn and master new tools and technologies is a must.

- Excellent written and verbal communication skills for coordinating across Internal and external stakeholders.

- 1 years of experience with core Data Science Exposer and building statistical models and a degree in Statistics, Mathematics, Computer Science or another quantitative field.

- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.

- Knowledge working with various APIs. Exposure to using Google APIs like Geocoding, Reverse Geocoding, Places etc.

- Exposure to using Web Analytics tools like Google Analytics, Adobe Analytics etc.

- 5 days working

Location-Noida,Pune,Bangalore,Hyderabad,Chennai,Kolkata,Mumbai,Chandigarh,Remote Pan india,Hybrid, Delhi, gurugram, gujarat,
Role: 

Data Scientist

Industry Type: 

IT Services & Consulting

Department: 

Data Science & Analytics

Employment Type: 

Full Time, PermanentRole Category: 

Data Science & Machine Learning

EducationUG: 

B.A in Statistics, Maths, BCA in Computers, B.Tech/B.E. in Computers, B.Sc in Statistics, ComputersPG: 

Any PostgraduateDoctorate: 

Doctorate Not Required

Job Features

Job CategoryData Science

Job description Data Scientist/ Senior Data Scientist/ Manager Data Scientist/ Team Lead Data scientist/ Principle data Scientist We are looking for a Data Scientist to join our growing Data Team to s...

Exp : 4 to 9 Years
Bangalore, Chennai, Hyderabad, Pune
Posted 2 years ago

Job description

Roles and Responsibilities

Role: Data Scientist

Exp: 4 to 10 Years

Skills:

Programming Languages (• R, • Python)

Machine Learning Algorithms (• Linear Regression, • Logistic Regression, • Clustering, •

Decision Trees, • Tree Based Ensembles

Business Analytics Case Studies (• Sales/Marketing, • Employee Attrition(HR), • Credit

Default Prediction, • Churn Prediction, • Brand Analysis, • Store Clustering, • Customer Profiling, •

Energy Electricity Bill Analysis,)

Behavioural Skills (• Problem Solving, • Root-Cause Analysis, • Detail-Oriented, •

Perseverance, • Curiosity, • Follow Constructive Criticism)

Cloud platform : MS Azure (in Telstra)

RDBMS (• MySQL, • PostgreSQL, Concepts, • Data Collection, • Requirement Gathering, •

Sampling, • Exploratory Data Analysis, • Data Cleaning and Wrangling, • Data Manipulation and

Visualization, • Feature Engineering, • Probability Distributions, • Hypothesis Testing, • ANOVA, •

CRD&RBD, • Post Hoc Analysis, • Chi Square Test of Independence, • Goodness of Fit, • Model

Building, Selection, Evaluation and Validation, • Dashboard Design and Development )

Visualization Tools (• Excel, • Tableau)Role: 

Data Scientist

Industry Type: 

IT Services & Consulting

Department: 

Data Science & Analytics

Employment Type: 

Full Time, Permanent

Role Category: 

Data Science & Machine Learning

Education UG: 

Any Graduate

Job Features

Job CategoryData Science

Job description Roles and Responsibilities Role: Data Scientist Exp: 4 to 10 Years Skills: Programming Languages (• R, • Python) Machine Learning Algorithms (• Linear Regression, • Logist...

Exp : 3 to 7 Years
Bangalore, Chennai, Hyderabad
Posted 2 years ago

Job description

Job Description :-

  • Data science-  ML, Text analytics, Regression, Data classification and prediction, APIs
  • Softwares:- python , power BI, sql, tableau.
  • Platforms: H2O, Data robot
  • Analytics code Deployment using Azure, AWS, on prem methods etc.

Role: 

Data Scientist Industry Type: 

IT Services & Consulting Department: 

Data Science & Analytics Employment Type: 

Full Time, PermanentRole Category: 

Data Science & Machine Learning

EducationUG: 

Any Graduate

Job Features

Job CategoryData Science

Job description Job Description :- Role:  Data Scientist Industry Type:  IT Services & Consulting Department:  Data Science & Analytics Employment Type:  Full Time, Permane...

Exp : 4 to 7 Years
Bangalore, Hyderabad
Posted 2 years ago

Job description

Roles and Responsibilities

  • 5+ years of experience in Power BI and MSBI Using SSIS, SSAS,SSAS Tabular, SSRS, Data modelling along with Power BI reporting and SQL Server
  • Good experience in developing, customizing and supporting interactive dashboards and visualizations using Microsoft Power BI Desktop, Server and Service technologies.
  • Spot key performance indicators with apt objectives
  • Good experience in creating calculated columns, measures, query editing and advanced editing using power query and power pivot.
  • Analyse previous and present data for better decision making
  • Transform business requirements into technical publications
  • Build multi-dimensional data models
  • Develop strong data documentation about algorithms, parameters, models
  • Perform detailed analysis on tested and deployed Power BI scripts
  • Run DAX queries and functions in Power BI
  • Make essential technical and strategic changes to improvise present business intelligence systems
  • Identify the requirements and develop custom charts accordingly
  • Experience in creating Power BI dashboards and reports.
  • Extensive experience in Installation, Configuration and Updates of SQL Server.
  • Strong Communication & Management skills with Excellent Role-playing capabilities.

Role: 

Database Developer / Engineer Industry Type: 

IT Services & Consulting Department: 

Engineering - Software & QA Employment Type: 

Full Time, PermanentRole Category: 

DBA / Data warehousing

EducationUG: 

Any GraduatePG: 

Any Postgraduate

Key Skills

Skills highlighted with ‘‘ are preferred keyskills

Job Features

Job CategoryPower BI

Job description Roles and Responsibilities Role:  Database Developer / Engineer Industry Type:  IT Services & Consulting Department:  Engineering – Software & QA Employment Type:Â...

Fresher
Bangalore, Chennai, Delhi, Hyderabad, Kolkata, Mumbai, Pune
Posted 2 years ago

Job description

Roles and Responsibilities

1. Power BI Dashboard Development: Design, develop, and maintain interactive and visually compelling Power BI dashboards that effectively present complex data from various sources, including SAP, MySQL, SQL Server, SAP HANA, and other databases.

2. Data Integration and Backend Connection: Establish secure and efficient connections between Power BI and the backend systems (SAP, MySQL, SQL Server, SAP HANA, etc.) to extract, transform, and load data into Power BI datasets. Ensure the data is accurate, up-to-date, and accessible to end-users.

3. Data Modeling and Analysis: Design and implement data models and calculations in Power BI to support business requirements. Perform data analysis and identify trends, patterns, and anomalies in the data. Collaborate with stakeholders to understand their analytical needs and translate them into actionable insights.

4. Report Optimization: Optimize and enhance the performance of existing Power BI reports and dashboards. Identify opportunities to streamline data queries, improve data loading speed, and enhance the overall user experience.

5. Data Governance and Security: Implement data governance practices and security measures to ensure the confidentiality, integrity, and availability of the data. Define and enforce access controls and permissions to safeguard sensitive information.

6. Documentation and Training: Create documentation, user guides, and training materials to facilitate the adoption and effective usage of Power BI dashboards by end-users. Conduct training sessions and provide support to users to maximize the utilization of Power BI capabilities.

Qualifications:

  • Bachelors degree in computer science, Information Systems, or a related field
  • Proven experience in developing interactive dashboards using Power BI.
  • Strong knowledge of database management systems, including SAP, MySQL, SQL Server, SAP HANA, etc.
  • Proficiency in SQL and data modelling concepts.
  • Familiarity with ETL processes and tools for data extraction, transformation, and loading.
  • Ability to work collaboratively in a team environment and effectively communicate technical concepts to non-technical stakeholders.
  • Experience with data visualization best practices and a keen eye for design aesthetics.
  • Familiarity with data governance and security practices.

Preferred Qualifications:

  • Microsoft Power BI certification(s).
  • Experience with other business intelligence tools and data visualization frameworks.
  • Knowledge of SAP reporting tools and modules.
  • Familiarity with agile development methodologies.

Perks and Benefits

Best in the Industry

Role: BI DeveloperIndustry Type: Food Processing Department: Data Science & AnalyticsEmployment Type: Full Time, PermanentRole Category: Business Intelligence & AnalyticsEducationUG: B.Tech/B.E. in Any SpecializationKey SkillsSkills highlighted with are preferred keyskills Roles and Responsibilities

Job Features

Job CategoryPower Bi Developer

Job description Roles and Responsibilities 1. Power BI Dashboard Development: Design, develop, and maintain interactive and visually compelling Power BI dashboards that effectively present complex d...