Sr. Manager- Data Analytics

23 hours ago

Hyderabad, Telangana, India Credence Hr Services Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Sr Manager- Data Analytics || MNC || HYD

Key Responsibilities

  • Advanced Data Analysis: Utilize advanced SQL skills to query, analyze, and manipulate large, complex datasets. Develop and maintain robust, scalable dashboards and reports to monitor key performance indicators (KPIs).
  • Source Code management: Proven ability to effectively manage, version, and collaborate on code using codebase management systems like GitHub. Responsible for upholding data integrity, producing reproducible analyses, and fostering a collaborative database management environment through best practices in version control and code documentation.
  • Strategic Insights: Partner with product managers and business stakeholders to define and answer critical business questions. Conduct deep-dive analyses to identify trends, opportunities, and root causes of performance changes.
  • Data Architecture & Management: Work closely with data engineers to design, maintain, and optimize data schemas and pipelines. Provide guidance on data modeling best practices and ensure data integrity and quality.
  • Reporting & Communication: Translate complex data findings into clear, concise, and compelling narratives for both technical and non-technical audiences. Present insights and recommendations to senior leadership to influence strategic decision-making.

Required Skills & Experience

  • Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
  • 7+ years of professional experience in a data analysis or business intelligence role.
  • Expert-level proficiency in SQL with a proven ability to write complex queries, perform window functions, and optimize queries for performance on massive datasets.
  • Experience with a business intelligence tool such as Tableau, Looker, or Power BI to create dashboards and visualizations.
  • Experience with internal Google/Alphabet data tools and infrastructure, such as BigQuery, Dremel, or Google-internal data portals.
  • Experience with statistical analysis, A/B testing, and experimental design.

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