Data Science Engineer
- Sportstech Brands
- 2 - 5 years
- Bengaluru
- 5 months ago
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Job Description
Overview
We are seeking a Junior Data Science Engineer with 2-4 years of professional experience to join our analytics team. This role focuses on analyzing the current database, building interactive dashboards for business insights, and deep-diving into user behavior analytics. The ideal candidate will also provide actionable feedback to enhance our data collection processes from mobile applications and other client platforms.
Key Responsibilities
- Analyze Current Database: Examine existing data sources to extract valuable insights and identify data quality or structural improvement opportunities.
- Data Visualization: Develop clear and intuitive dashboards (e.g., using Tableau, Power BI, or similar tools) to surface key business metrics, trends, and user behavior analytics for non-technical stakeholders.
- User Behavior Analytics: Investigate patterns in user data to deep-dive into engagement, retention, and other relevant KPIs. Present findings and actionable recommendations to product and business teams.
- Database Enrichment: Review current data pipelines and provide feedback on enhancing data collection strategies. Recommend new data points to be captured from mobile applications and other platforms to empower richer analytics.
- Collaboration: Work closely with engineering and product teams to align analytics requirements and ensure data availability for reporting needs.
- Documentation: Maintain clear, up-to-date documentation for analysis processes, dashboard logic, and recommendations for new data fields or event-tracking.
Required Skills & Qualifications
- Bachelors or Masters degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
- 24 years of experience working in data science, business analytics, or a related analytics/engineering role.
- Strong SQL skills and proficiency in manipulating large datasets.
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker, or equivalent).
- Hands-on knowledge of Python or R for data analysis.
- Solid understanding of data modeling and relational databases.
- Good knowledge of user behavior analytics and KPI definition.
- Ability to communicate findings and technical requirements to business and engineering stakeholders.
Preferred (Nice-to-have)
- Experience working with mobile app metrics (e.g., Google Analytics, Mixpanel, Firebase).
- Familiarity with ETL processes or data pipeline orchestration.
- Knowledge of event-based tracking and best practices in mobile application analytics.
What Youll Gain
- Opportunity to shape the analytics-driven culture of a fast-growing company.
- Direct impact on business and product strategy through data-driven insights.
- Exposure to a modern analytics technology stack and business-facing problem-solving.
Job Classification
Industry: Software ProductFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: Sportstech BrandsLocation(s): Bengaluru
Keyskills: Data Analysis User Behavior Analytics Data Visualization Python SQL Data Modeling ETL
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