• We are seeking a visionary, hands-on analytics leader to build and lead a high-impact Data Analytics department. This leader will define the strategy, architecture, and execution plan to enable data-driven decision-making across the business.

Responsibilities:

• Develop and execute a data strategy that aligns with business goals.
• Design and implement scalable data infrastructure and analytics processes.
• Lead a team of data professionals, fostering a culture of innovation and collaboration.
• Build advanced dashboards, reports, and predictive models to drive insights.
• Collaborate with stakeholders to translate business needs into analytical solutions.
• Ensure data governance, accuracy, and security across the organization.
• Automate and optimize data workflows for efficiency and scalability.

Core Technical Skills (Required):

Advanced Excel:

• Data cleaning, pivot tables, advanced formulas (e.g., INDEX/MATCH, dynamic arrays), Power Query.

SQL (Intermediate to Advanced):

• Performance-optimized queries, joins, subqueries, aggregations, window functions, CTEs.

BI Tools (Power BI / Tableau - Advanced):

• Building dynamic dashboards, drill-through reports, advanced DAX or LOD expressions.

Python for Data (Proficient):

• Pandas, NumPy, data wrangling, scripting, automation workflows.

Statistics & Data Analysis:

• Strong understanding of hypothesis testing, distributions, ANOVA, regression, etc.

API Integration & Data Engineering (Advanced):

• Consuming and managing RESTful APIs, OAuth 2.0 authentication.
• Working with Postman, Swagger, automating API workflows using Python.
• Interfacing with SaaS platforms (HubSpot, Salesforce, Google Analytics, Shopify).

Business Acumen & Leadership:

• Deep understanding of business KPIs, growth metrics, and operations.
• Ability to align data strategy with company goals.

Bonus Skills (Highly Valuable):

 Machine Learning (Intro/Applied Level) – Supervised/unsupervised learning, feature selection, overfitting.

 Exploratory Data Analysis (EDA) – Profiling datasets, identifying trends/anomalies.

 Data Storytelling & Visualization – Designing insights for non-technical stakeholders.

 Cloud & Big Data Familiarity – Google BigQuery, AWS Redshift, Snowflake, Databricks.

 Automation & AI – Automating dashboards, reports, and notifications using Python, Airflow, Zapier, Power Automate.

Ideal Profile

• 5+ years of experience in analytics with 2+ years leading a team.
• Proven ability to hire, mentor, and scale analytics teams.
• Strong communication skills to present insights to stakeholders.
• Experience building internal documentation, playbooks, and processes.

Ideal Candidate Traits:

 Builder mindset – Excited to create something from scratch.

 Clear communicator – Can present complex data insights with clarity.

 Data-obsessed & business-driven – Passionate about leveraging data for decision-making.