SyanSoft Technologies - Manager - Marketing & Commerce Analytics

Summary:

- A seasoned professional with 10+ years of experience in data analytics, insights generation, and stakeholder consulting to drive strategic decisions.

- Skilled in advanced statistical techniques, trend analysis, and business modeling using SQL, Python/R, and Excel.

- Experienced in delivering enterprise-grade dashboards and visualizations with Tableau, Power BI, and Looker, translating complex data into clear executive insights.

- Adept at managing analytics projects from hypothesis formation to data-backed recommendations.

- The Insights & Analytics Specialist bridges the gap between raw data and strategic planning, uncovering trends and opportunities to enable informed decision-making.

- This role requires close collaboration with cross-functional teams and clear communication of complex findings.

Key Responsibilities

- Data Collection & Analysis: Gather data from diverse sources (surveys, sales reports, market research, etc.) and analyze it using statistical tools and software.

- Insights Generation: Identify trends, patterns, and relationships within the data to uncover actionable insights.

- Strategic Planning: Translate insights into actionable recommendations and develop data-driven strategies with stakeholders.

- Reporting & Visualization: Create reports and build compelling dashboards/visualizations to communicate findings effectively.

- Collaboration: Work with cross-functional teams to integrate data-driven approaches across the organization.

- Continuous Learning: Explore new data sources, techniques, and tools to stay ahead of industry trends.

Skills & Qualifications

- Data Analysis: Strong analytical and problem-solving skills, with experience in statistical analysis and data mining.

- Data Visualization: Expertise in building clear, impactful visualizations and executive dashboards.

- Communication: Excellent written and verbal communication skills to present complex insights to non-technical stakeholders.

- Technical Proficiency: Hands-on experience with SQL, Python/R, Tableau, Power BI, Looker, and advanced Excel.

- Business Acumen: Ability to understand business objectives and apply data insights to solve real-world problems.

- Collaboration: Proven ability to work effectively with diverse teams and stakeholders