Key Responsibilities

• Understanding Business processes and existing ecosystem
• Understand Business KPIs, metrics and their calculations
• Analyze, understand, and model data being used in the process and (re)define process flows, reporting and data visualization that improves efficiency in how we deliver outputs and insights to Business users
• Perform Descriptive, Diagnostic and Predictive analytics.
• Identify key insights, relations from data in the context of the Business scenario
• Share analysis with Business users
• Work collaboratively with Business users to deliver insights in an agile manner;
• Design high quality reports and dashboards selecting right types of visuals and presentation considering best user experience
• Develop BI dashboards– to share final analysis result with business stakeholders
• Understand data sources for KPIs and how data is stored in source systems
• Work collaboratively with Data Platform team to get data from Source in DWH
• Understand Dimension model design and how to use for reporting
• Create reports and dashboards using Power BI or any other reporting tool
• Implement report level and data level security in reports/dashboards
• Publish reports to PowerBI Service and maintain code in repository
• Maintain user access to reports & dashboards
• Maintain reports and amend changes based on stakeholders’ requirements
• Identify areas of process improvements and propose solutions including ML models to improve Customer Experience or optimize Processes
• Perform statistical analysis, Hypothesis Testing
• Build ML models using Python and evaluate models for accuracy.
• Interact with multiple stakeholders to present results in PPT or Jupyter Notebook
• Deploy models and integrate insights into reports
• Focus on developing end-to-end analytical solution
• Ownership and oversight of data quality and identify potential enhancements
• Ensure process compliance
• Provide Daily / Weekly update on progress of work

QUALIFICATIONS

• Have a passion for data analysis and drawing insights from data
• Has a strong problem solving and analytical mindset
• Ability to interpret & ask questions to understand business requirements, to ensure successful business outcomes.
• Ability to learn new software and technologies quickly & intuitively.
• Ability to follow instructions and work in a team environment, adapting to situation & need.
• Ability to operate using Agile Methodology and DevOps tools, to coordinate, deliver & track work.
• Can work independently under limited supervision & apply subject knowledge in Data Analysis.
• Self-motivated and able to proactively learn good practice through research, peer Q&A & experiments.
• Appreciation of business case fundamentals an advantage, to contribute throughout solution lifecycle.
• Excellent verbal and written communication skills with the ability to effectively advocate solutions to engineering teams and business stakeholders
• Strong interpersonal skills and ability to work in a collaborative environment
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.

Candidate profile

• Degree in business analytics / data science / statistics / economics and / or degree in Engineering, Mathematics or Computer Science
• Bachelor’s degree with minimum 4 years or Master’s degree with minimum 2 years of Data Science experience from a recognized institute
• Candidates with domain knowledge and relevant experience in Customer Analytics would be highly preferred
• Strong data understanding inference of patterns, root cause, statistical analysis, understanding forecasting/predictive modelling.
• Hands-on experience in implementation of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others) and time-series algorithms (e.g. ARIMA, ARIMAX, UCM, Holt-Winters and others)

• Excellent coding skills in – SQL, Python

• Able to support conclusions with analytical evidence using descriptive stats, inferential stats and data visualizations
• Candidate having UX design experience will be preferred
• Strong analytical, problem solving, and conceptual skills.
• Demonstrated ability to work with ambiguous problem definitions, recognize dependencies and deliver impact solutions through logical problem solving and technical ideations
• Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them
• Intellectually curious, high energy and a strong work ethic