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.