Chief Data Analytics Strategist

8 hours ago

Bikaner, Rajasthan, India beBeeData Full time ₹ 25,00,000 - ₹ 30,00,000

Job Opportunity

We are seeking a seasoned professional to lead our data and analytics efforts. The ideal candidate will have extensive experience in managing delivery across various client engagements, with expertise in skills such as data management, SSIS, SSRS, SQL, Snowflake, Azure Data Factory, Big Data, Hadoop, Cloud data migrations, Data Quality and Governance, Data Engineering, ETL/ELT, Data Ops, BI and Analytics, Data Science and Machine Learning, or AI/Gen AI.

Key Responsibilities

  • Prioritize Accounts and Customer Value: Rank accounts and projects based on strategic importance and urgency to ensure the most critical ones receive priority attention.
  • Allocate Resources: Ensure necessary resources (e.g., personnel, technology) are allocated efficiently across the portfolio.
  • Portfolio-Wide Performance Metrics and Analysis: Use effective KPIs to measure the success and impact of projects within the portfolio.
  • Optimize Resource Utilization: Monitor resource usage to avoid overallocation or underutilization, ensuring optimal performance and cost-effectiveness.
  • Track Project Progress: Regularly review the status of ongoing projects to ensure they are on track with their timelines, budgets, and deliverables.
  • Generate Reports: Provide detailed reports to stakeholders, highlighting progress, risks, and any necessary adjustments.
  • Risk Management: Proactively identify potential risks that could impact the portfolio, such as resource constraints, technical challenges, or market changes. Develop and implement strategies to mitigate identified risks, ensuring minimal disruption to project execution.
  • Stakeholder Engagement: Establish an effective communication framework with all stakeholders. Manage Expectations: Ensure stakeholders are informed about project statuses, potential risks, and any changes to the portfolio.
  • Ensure Compliance and Governance: Prioritize financial planning analysis and budgeting aspects at the project/portfolio level. Conduct forward-looking planning on revenue projections, staffing capacity, and review the same periodically along with key internal stakeholders.
  • Delivery Excellence: Regularly assess delivery teams' performance scorecards. Implement best practices and standards across services. Collaborate with delivery managers to identify and implement process improvements to drive overall delivery excellence, cost reduction, and efficiency gains.

Requirements

  • 20+ years of experience in data analytics
  • Expertise in skills such as data management, SSIS, SSRS, SQL, Snowflake, Azure Data Factory, Big Data, Hadoop, Cloud data migrations, Data Quality and Governance, Data Engineering, ETL/ELT, Data Ops, BI and Analytics, Data Science and Machine Learning, or AI/Gen AI

Benefits

  • Opportunity to lead high-impact projects
  • Collaborative work environment
  • Professional growth and development opportunities

What We Offer

  • A dynamic and innovative work environment
  • A competitive compensation package
  • Ongoing training and development opportunities

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