Analytics Consultant

Associate Process Manager

Role and responsibilities:

We are looking for a highly analytical and strategic Analytics Consultant/Insights Consultant who thrives in a hands-on role, working directly with data to extract insights that drive meaningful business decisions. This role requires someone who can go beyond standard reporting to deeply analyze data, identify trends, and provide clear, actionable recommendations that improve key performance indicators (KPIs).

1. Hands-On Data Analysis & Insights Generation

• Perform in-depth, hands-on analysis of business data to uncover trends, opportunities, and risks affecting KPIs such as conversion rates, sales, customer retention, and operational efficiency.
• Independently query, extract, and manipulate large datasets using SQL to answer complex business questions.
• Use statistical techniques and advanced analytics methods (e.g., predictive modeling, segmentation) to support strategic decision-making.

2. Business-Driven Recommendations & Impactful Storytelling

• Translate raw data into actionable insights and develop clear, compelling recommendations for business teams.
• Drive measurable improvements in business performance by identifying optimization opportunities across marketing, operations, sales, and product functions.
• Excellent communication is non-negotiable—you must be able to simplify complex data, build strong narratives, and effectively present insights to non-technical stakeholders and senior executives.

3. Data Visualization & Reporting

• Design, develop, and automate scalable reports and dashboards using Power BI to track and communicate business performance.
• Ensure data accuracy, consistency, and clarity in reports to empower teams to make informed decisions.
• Provide real-time insights and deep dives to address business challenges proactively.

4. KPI Management & Performance Optimization

• Collaborate with business teams to define, refine, and monitor key business KPIs.
• Actively track performance metrics, diagnose variances, and suggest corrective actions.
• Continuously optimize analytics processes to enhance efficiency and accuracy.

5. Cross-Functional Business Partnership

• Serve as a trusted analytics partner across marketing, operations, sales, and product teams.
• Work closely with stakeholders to understand business needs, translate data into actionable strategies, and influence decision-making.
• Effectively communicate technical findings in a clear and compelling way to both technical and non-technical audiences.

6. Process Improvement & Best Practices

• Identify opportunities to improve data workflows, analytics processes, and reporting efficiencies.
• Advocate for a data-driven culture by proactively sharing insights and best practices across teams.

Qualifications and Skills

Must-Have:

• Education: Bachelor's degree in Analytics, Data Science, Business, Statistics, or a related field. Advanced degrees are a plus.
• Experience: Minimum experience of 6 years in analytics, business intelligence, or insights roles, preferably in retail or eCommerce.
• Technical Skills:
  • Advanced proficiency in SQL for querying and analyzing large datasets.
  • Strong experience in Python & Excel.
  • Preferable to work on CRM data.
  • Hands-on experience in creating dashboards and reports using Power BI or similar visualization tools.
• Communication Skills:
  • Excellent verbal and written communication skills with the ability to translate data insights into clear, actionable recommendations.
  • Proven ability to present insights and recommendations to diverse audiences, including senior executives.

Preferred Qualifications:

• Familiarity with analytics tools such as R, or Tableau, Adobe Analytics, Google Analytics is good to have
• Experience in eCommerce metrics, such as website traffic, customer journey analysis, or digital marketing performance.
• Knowledge of advanced analytics techniques like predictive modeling or segmentation.
• Demonstrated ability to independently lead analytics projects from ideation to execution.

Soft Skills:

• Strong business acumen and a deep understanding of how analytics can drive organizational value.
• Exceptional problem-solving and critical-thinking abilities.
• A proactive and collaborative mindset, with a focus on continuous improvement.