Job Responsibilities / Relative Time Allocation
<Technical - 70%>
Data
- Understand data sources, data schemas, build data models
- Maintain data artefacts and keep them up-to-date and high-quality
Dashboards
- Build and maintain dashboards for cross-functional teams
- Ensure visualizations enable people to interpret the insights
- Manage end-to-end dashboard build lifecycle: requirements gathering, wireframe, MVP, development, testing (data validation, UAT), production
Analysis
- Conduct root cause analysis on moderate to complex business problems
- Interrogate data, identify patterns, consult with business stakeholders to understand business problem and to test hypotheses
- Build models to support analysis and insights story
Insights
- Clearly communicate findings and recommendations for stakeholders
- Ensure insights are relevant and actionable and there is closure to the request
- Implement change management based on insights
- Operationalize insights and measure incremental lift
Collaboration
- Collaborate with Global Analytics team to implement data & dashboards changes and share knowledge
- Manage requests from stakeholders, evaluate and prioritize into sprint project queue
<Business - 20%>
Business Acumen
- Understand business processes in-depth to drive insights usage downstream
- Use knowledge to holistically address "the real ask behind the request" and effectively communicate with stakeholders, drive common understanding within/across teams
Collaboration: cross-functional
- Represent Analytics perspective in project support / leads workstreams
- Work cross-functionally to promote data driven decision making
- Take initiative, be recognized as Analytics SME for business partners
- Apply understanding of connection between data and business process to changing/new business problems
Continuous Process Improvement
- Identify opportunities for efficiencies and take action to implement/document them clearly
- Shares learnings with team members to improve team's delivery and efficiency
<Insights Delivery - 10%>
Presentation
- Ensure presentation is structured, formatted cleanly, easy to read and interpret, and has a clear story
- Recommend strategies to improve business based on insights
- Ensure recommendations are clear, succinct, relevant, and actionable
- Tie insights into a simple coherent data story
Data quality
- Produce high quality work which adheres to relevant standards
- Validate own/team's data for accuracy and relevance
- Exercise good judgement to determine/take appropriate action; minimal to no re-work
Key Skillsets & Knowledge
- Manages self, including effective prioritization of requests with minimal oversight
- Collaborates with peers and assumes project-/effort- lead role through situational leadership in areas of expertise
- Demonstrated ability to multi-task, work in team settings, and work independently when required
- Strong attention to detail
- Strong verbal and written communication (e.g., clearly articulate insights, actions, questions)
- Recognize mistakes and learn from them
- Applies logical thinking
- Curiosity to investigate patterns, leverage skillsets to understand root cause, use basic data analysis skillsets to support findings
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3 - 4 years
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Freshers are also encouraged to apply.
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Mobile Bill
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Pension Policy
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Tour
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Medical
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Holidays
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Performance Bonus
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Salary Review:
Half Yearly