trekW - Data Analytics Specialist

Job Description: Analytics Specialist

Job Requirements:

1. Analytics Strategy and Planning:

- Develop and execute a robust analytics strategy aligned with digital and business objectives.

- Collaborate with stakeholders to define business KPIs and data requirements.

2. Data Architecture Optimization:

- Work closely with data architects to optimize data structures for effective analytics implementation.

- Ensure data consistency, accuracy, and integrity across digital platforms.

3. Analytics Tool Expertise:

- Leverage expertise in Tableau and AWS QuickSight to develop insightful and visually compelling dashboards.

- Configure and implement analytics tools to extract meaningful insights from data.

4. Data Visualization:

- Design and create advanced data visualizations, reports, and dashboards for various business units.

- Transform complex data sets into actionable insights and communicate findings effectively.

5. Business Analytics:

- Apply business analytics techniques to interpret data trends, patterns, and anomalies in sales, marketing, consumer exp, Supply Chain, Mfg, Finance (atleast 2 or more)

- Collaborate with business analysts to align analytics initiatives with business goals.

6. Performance Monitoring:

- Monitor the performance of digital platforms and campaigns through continuous data analysis.

- Identify areas for improvement and optimization based on performance metrics.

7. Technical Collaboration:

- Collaborate with technical architects and developers to integrate analytics solutions into digital platforms.

- Provide technical guidance on analytics best practices and tool integration.

8. Data Governance and Security:

- Implement data governance policies and security measures to ensure compliance.

- Work with cybersecurity teams to address data security concerns.

Qualifications:

- Bachelor's or Master's degree in Analytics, Business Analytics, Data Science, or a related field.

- 5-7 years of experience in analytics, with a focus on technical architecture within a digital environment.

- Proficient in analytics tools such as Tableau, AWS QuickSight, Google Analytics, or similar.

- Advanced skills in data analysis, SQL, and programming languages.

- Excellent analytical and problem-solving skills.

Preferred Skills:

- Familiarity with big data technologies (Hadoop, Spark).

- Experience with cloud-based analytics solutions, especially AWS.

- Relevant certifications in analytics, Tableau, or AWS QuickSight.