Job brief:

We are looking for a passionate certified Data Analyst.

The successful candidate will turn data into information, information into insight and insight into business decisions.

As the Lead Analytics, you will lead our strategic efforts to leverage data in alignment with our business objectives.

Your role will be pivotal in fostering a culture of analytics, implementing best practices, and improving data-driven decision making.

You will align and direct the development, management, and integration of our analytics and business intelligence (BI) capability to support the mission, vision, objectives, and goals of the overall business.

Additionally, we seek someone who comprehensively understands how the business operates as a whole, recognizing the importance of analytics in each department to paint a cohesive and comprehensive picture.

Essential Responsibilities:

- Strategic Leadership: Drive a culture of Business Intelligence by assisting in architecting and executing a visionary analytics strategy that harnesses our data ecosystem.

- Responsible for driving departmental adoption of analytics while promoting data-driven decision-making and customerand consumer-driven insights.

- Excellent Communication & Coordination: Since the position will primarily be coordinating & working with our U.S office team, hence excellent command over verbal & written English is an important pre-requisite for the position.

- Ideal candidate should be open for working as per US shift timings.

- Analytics Infrastructure: Collaborate with IT Architecture Leadership around the development and maintenance of robust analytics infrastructure, including data warehouses, reporting tools, and visualization platforms.

- Analytics and Modeling: Establish a foundation for deploying advanced statistical models and machine learning algorithms in the future, focusing on building the necessary infrastructure and expertise for predictive analysis and optimization.

- Dashboard and KPI Management: Develop dashboards and KPIs to drive decisionmaking processes.

- Collaboration and Influence: Collaborate with key stakeholders across departments to understand business needs and translate them into data and analytics requirements.

- Act as a bridge between technical teams and business units, translating complex data insights into actionable business strategies.

- Effective communication with both technical and non-technical team members.

- Legacy: Comfortable with creating foundational data strategy that will enable a hyper growth strategy.

- Data Governance: Ensure data integrity and consistency across all reporting, documentation of data assets and KPIs, establish source of truth for data domains.

- Implement data quality standards and procedures, overseeing data cleansing and validation processes.

- Technical Expertise: Utilize SSIS for ETL processes, ensuring seamless data integration and automation across systems.

- Employ Power BI for comprehensive business intelligence solutions, creating dynamic reports and dashboards that drive decision-making.

- Continuous Improvement: Stay informed about industry trends and emerging technologies in data and analytics.

- Identify opportunities for process optimization and the application of advanced analytics techniques and build a 3-year roadmap for data analytics.

Skills & Minimum Qualifications:

- To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.

- The requirements listed below are representative of knowledge, skill, and/or ability required.

- Reasonable accommodation may be made to enable individuals with disabilities to perform essential functions.

- Bachelors or Master's in Data Science, Computer Science, or related fields.

- At least 7 years of experience in a leadership role within analytics/data science, specifically within the retail or ecommerce sector.

- Working knowledge in data management and analytics platforms, such as SQL Server, SSIS, Power BI, and Google Analytics.

- Demonstrated ability in statistical analysis, predictive modeling, and machine learning techniques.

- Demonstrated ability to analyze and interpret trends in large datasets, identifying patterns and insights that drive strategic decision-making.

- Familiarity with ERP systems and their application in data-driven business environments.

- Experience in implementing tailored solutions to improve customer journey mapping, satisfaction metrics, and brand loyalty.

- Proficiency in warehouse management tools, demonstrating expertise in utilizing data analytics to optimize supply chain operations and enhance efficiency within warehouse management systems.

- Ability to communicate trends and their implications clearly and concisely to stakeholders at all levels of the organization, informing strategic planning and resource allocation.

- Strong project management skills, presentation skills, and a successful track record of leading successful cross-functional initiatives.

- Demonstrated track record of working with consumer brand initiatives or enhancing customer experiences through data-driven strategies.

Specialized Training or Knowledge:

- Proficiency with Microsoft Office applications, with expertise in Excel (e., pivot tables, advanced functions, formulas, filtering, etc.) and database skills (e., SQL).

- Ability to collect and synthesize information, making it relevant, understandable, and actionable for key stakeholders.

- Ability to balance multiple projects with competing deadlines.

- Generate insights that improve the business through linking various data sources.

- Strong understanding of Analytics and Visualization techniques.