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Business Data Strategist
IndigoJobs | Location:Chennai
| Country:India
|
Job Description A Business Data Strategist is responsible for defining the data strategy of an organization to enable data-driven decision-making. This role bridges the gap between business objectives and technical data insights, translating data into actionable strategies and recommendations. The Business Data Strategist works closely with executives, business leaders, data architects and business analysts to understand the business value chain, map business processes to technology (Data/AI) capabilities, analyze whitespaces, and advise domain-specific opportunities for improvement. Job Title : Business Data Strategist Responsibilities: 1. Translate Business Problems: - Understand organization vision, business verticals, business drivers, market condition and key competitors. - Map the business value chain with high level understanding of business processes. - Understand business challenges, pain points, strategic and operational risks. - Identify whitespaces where data and analytics interventions can help. - Build use cases that can be translated to the technical team for further decomposition. 2. Define Data Strategy: - Lead the development of the organizations data strategy, aligning data initiatives with overall business goals and objectives. - Define long-term data strategies, including data collection, management, analysis, and usage, ensuring alignment with corporate priorities. - Identify key opportunities to leverage data as a strategic asset across the business. - Develop and maintain a roadmap for data initiatives that integrate various departments' needs (e.g., marketing, finance, operations, etc.). 3. Identify Data Governance Requirements: - Define policies and frameworks to ensure data quality, consistency, and compliance across the organization. - Frame best practices for data collection, storage, access, and utilization to ensure data integrity. - Outline solutions for metadata management including data lineage, data catalog and business glossary. - Provide recommendations regarding data privacy and security standards including specific compliance requirements (e.g., GDPR, CCPA). - Define guardrails for ethical use of data in AI initiatives. 4. Collaboration with Business Leaders: - Lead business stakeholder workshops and discussions with necessary domain knowledge. - Work with business stakeholders to understand their data needs, translate those into actionable data strategies, prioritize and ensure data solutions are aligned with business objectives. 5. Business Value Delivery: - Articulate to senior leadership regarding business value derived from the data strategy. - Build a mechanism to track and monitor effectiveness of data strategy, ensuring data initiatives deliver measurable business value. - Keep track of quantitative and qualitative benefits arising out of any consulting assignment, including downstream business opportunities. Skills and Qualifications: 1. Educational Background: Bachelor's degree in Engineering, Business Analytics, Computer Science, Information Management, or a related field. MBA (or equivalent) from a reputed institution with specialization in Operations, Supply Chain, Finance etc. 2. Technical Skills: - Knowledge of at least one business domain with the capability to conduct in-depth study of the business processes. - Strong knowledge of data modeling, data architecture, and data governance frameworks. - Proven experience in data analytics, data management and business intelligence tools. - Familiarity with data processing frameworks, such as SQL, Python, R, or other programming languages used for data manipulation and analysis. - Experience with data management platforms (e.g., Hadoop, AWS, Google Cloud Platform, or Azure). - Knowledge of data security and compliance regulations (e.g., GDPR, CCPA). - Strong ability to analyze large datasets, identify trends, and provide actionable insights. - Proven experience in identifying and developing KPIs and metrics that drive business performance. - Understanding of machine learning algorithms and GenAI tools. 3. Soft Skills: - Excellent communication skills, both written and verbal, with the ability to explain complex data insights to non-technical stakeholders. - Experience in presenting executive leadership and guiding strategic decision-making. - The ability to translate business problems into data-driven solutions that are both practical and impactful. - Strong leadership and advisory skills, with the ability to influence data initiatives across multiple teams. - Ability to work collaboratively with cross-functional teams, including business leaders, data engineers, data scientists, and IT professionals. - Comfortable working in a fast-paced, ever-evolving environment. - The ability to think strategically about how data can be used to meet business goals and drive organizational changes. - Experience in developing and implementing long-term data strategies that support business transformation. 4. Experience: - Between 12 to 20 years overall, with at least 5 years in data and analytics. - PAN India Job Classification Industry: Analytics / KPO / Research Functional Area / Department: Data Science & Analytics Role Category: Business Intelligence & Analytics Role: Analytics Consultant Employement Type: Full time Contact Details: Company: Leading Consulting Location(s): Chennai .. |
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