Data Analyst

Venture Garden Group is an Investment Holding Company that incubates, invests in and operates early revenue, technology companies implementing proven I.T. solutions that transform companies and governmental organizations in emerging markets to high performing establishments. 

Venture Garden Nigeria (VGN) is a fast growing Software company with a vision to build an enduring organization with an ecosystem of value creators- while delivering high impact technology solutions for emerging markets through a culture of entrepreneurship and innovation. At VGN we wage war against the average, go beyond the ordinary to explore limitless opportunities; breaking the norms and aggressively pursuing success through- Relentless Hard-work, Pursuit of excellence, calculated risk taking and a hunger for knowledge and we have a lot of fun at it!

Job Title: Data Analyst

Location: Ikeja, Lagos

Job Descriptions

  • Metrics: Define and evaluate key business metrics and understand what moves them and why.
  • Data Modelling: Design well-structured tables that are at the correct grain, format, and structured for widespread use (e.g. using Kimball modeling and data normalization techniques).
  • Visualization: Use Looker to design actionable and insightful reporting.
  • Insight and analysis: Support the marketing team to generate forecasts, realistic commercial targets, and opportunity analysis.
  • Analytical education: Hold training sessions and more to evangelize Power BI, R, or Python and data analysis best practices throughout the company.
  • Software Engineering Mindset: Automate tasks and work to deploy production standard code (with unit testing, continuous integration, versioning, clean code, DRY principles, etc.).
  • Master Data: Managing master data, including creation, updates, and deletion. Including Commissioning and decommissioning of data sets.
  • Reporting: Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Generating reports from single or multiple systems.
  • Technical Contribution: Providing technical expertise in data storage structures, data mining, and data cleansing.

Non-Technical:

  • Business insight: Understand complex business processes and break down fuzzy requirements into actionable segments.
  • Stakeholder Management: Demonstrate maturity in the management of executive stakeholders and clients, always exceeding expectations set for continuous improvement.
  • Multi-tasking: Prioritize workloads to balance conflicting priorities in order to ensure that all given deadlines are achieved to a high standard.

  • Discipline, drive, depth understanding of a sector: Requires quick assimilation of the sectors/industries within the Company's portfolio
  • Cross-Functional Collaboration: Partner with Program / Product Managers, Engineers and Business Functions to provide valuable insights and success measurement
  • Technical Documentation: Proven quality of technical documentation, where required, showing attention to details and clarity with a maximum of 2 reviews. With almost zero iteration required.