
Data Insights Strategist
1 day ago
Job Title: Data Insights Strategist
DescriptionThis role involves leading cross-functional teams and clients in designing, implementing, and optimizing advanced analytics solutions to drive business outcomes. The ideal candidate will possess expertise in marketing, data analytics, statistics, and machine learning, with a proven track record of delivering high-impact projects.
Responsibilities:
- Team Leadership & Development:
- Lead and mentor analysts, fostering collaboration, innovation, and excellence.
- Provide training and guidance on analytics best practices, tools, and methodologies.
- Ensure team goals align with organizational objectives.
- Strategic Analytics Planning:
- Collaborate with stakeholders to understand business objectives and design data-driven solutions.
- Translate complex business problems into actionable analytical frameworks.
- Data Governance & Quality Assurance:
- Oversee data integrity, accuracy, and consistency across all analytics projects.
- Establish data governance policies and ensure compliance with data security standards.
- Streamline ETL processes for efficient data management.
- Client Engagement & Delivery:
- Act as a strategic advisor to clients, providing insights and recommendations based on advanced analytics.
- Manage client expectations and ensure timely delivery of analytics projects.
- Cross-Functional Collaboration:
- Work with marketing, product, and engineering teams to integrate analytics and AI solutions into decision-making processes and products.
- Drive alignment between analytics initiatives and broader business strategies.
Requirements and Skills:
- Experience:
- 5+ years of professional experience in analytics, data science, or related roles.
- Atleast 3 years' experience in the digital marketing industry is mandatory.
- Experience in managing marketing analytics projects for international clients, specifically US and UK is mandatory.
- Proven track record of managing analytics teams and delivering high impact projects.
- Prior experience in conceptualizing and scaling AI/ML PoCs or data product initiatives is a plus.
- Technical Expertise:
- Advanced proficiency in Python, SQL, and Statistical techniques.
- Strong experience with machine learning techniques and frameworks (e.g., TensorFlow, Scikit-learn).
- Expertise in data visualization tools (Power BI, Tableau).
- Proficient in leveraging AI tools to enhance efficiency across analytics workflows and day-to-day deliverables.
- Experience with cloud platforms like GCP (BigQuery).
- Familiarity with data engineering practices and tools (e.g., Airflow, Snowflake) is an advantage.
- Leadership & Collaboration:
- Exceptional leadership skills with the ability to inspire and motivate teams.
- Strong interpersonal skills to build effective relationships with stakeholders and clients.
- Ability to manage multiple projects in a fast-paced, agile environment.
- Strategic Thinking:
- Deep understanding of marketing analytics concepts like marketing mix modeling, media budget allocation, and campaign optimization.
- Ability to think critically and solve complex business problems with data-driven solutions.
- Communication:
- Excellent written and verbal communication skills with the ability to present complex data insights to non-technical audiences.
- Experience in preparing executive-level reports and presentations.
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