1) Job Purpose: Write the purpose for which the job exists (in 2-3 lines) |
We are seeking an experienced and strategic-minded individual to join our team as the Head of Data Analytics. In this role, you will be responsible for leading the development and implementation of data analytics strategies to drive business insights, inform decision-making processes, and support overall organizational objectives.
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2) Dimensions: Mention quantitative or qualitative parameters that are relevant for the job and provide a better understanding of the scope and scale of the job. | |
Business Workforce Number |
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Department Workforce Number |
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Other Quantitative and Important Parameters for the job: Budgets/ Volumes/No. of Products/Geography/ Markets/ Customers or any other parameter | Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field
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3) Job Context & Major Challenges: Write the specific aspects of the job that provide a challenge (internal and external) to the jobholder in the context of the Business/Unit/Function/Department/Section |
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4) Key Result Areas: Write the key results expected from the job and the supporting actions for each of these key result areas (For a majority of jobs typically there could be 4- 7 key result areas) | |
Key Result Areas | Supporting Actions |
Data Strategy Development | Develop and execute a comprehensive data analytics strategy aligned with Birla Opus's business goals and objectives |
Data Governance | Establish and enforce data governance policies, standards, and best practices to ensure the quality, integrity, and security of data assets |
Team Leadership | Lead and mentor a team of data analysts, data scientists, and other professionals, fostering a culture of collaboration, innovation, and continuous learning |
Data Modeling and Analysis | Oversee the development and implementation of advanced data modeling and analysis techniques to extract meaningful insights from complex datasets |
Business Intelligence | Collaborate with key stakeholders to identify business intelligence needs and deliver actionable insights and recommendations to drive strategic decision-making |
Data Visualization | Drive the design and development of interactive dashboards, reports, and visualizations to communicate data-driven insights effectively to stakeholders at all levels |
Data Infrastructure | Evaluate and implement data infrastructure solutions and technologies to support data storage, processing, and analysis requirements |
Predictive Analytics | Explore predictive analytics methodologies and techniques to forecast trends, identify opportunities, and mitigate risks across various business functions |
Cross-Functional Collaboration | Collaborate closely with cross-functional teams, including IT, marketing, operations, finance, and product development, to integrate data analytics into business processes and decision-making workflows. |
Continuous Improvement | Continuously assess and optimize data analytics processes, tools, and methodologies to enhance efficiency, accuracy, and scalability |