Data Analyst at Venture Garden Nigeria (VGN)

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.

Qualifications
Essential Competencies:

• Coding (SQL primarily + Python and/or R), intermediate level
• Experience with relational databases, ETL and data acquisition
• Experience with manipulating flat files from Python
• Experience with data analytics: EDA, sampling, visualization, data cleaning/wrangling
• Experience with data warehousing and reporting tools
• Young, passionate and available to put in the long hours.
• BSc Certificate holder, Certification in a Business, Science, Mathematical or Technology related course
• 3-5 years’ work experience in a similar/relevant role from a reputable organization (Experience in Business Intelligence or Data Analyst roles is an advantage).
• An understanding of the role of a Business / Data Analyst in a Technology product and service company.
• Drives significant insight from information gathered on the VGG sector happenings and market trends.
• Above-average level proficiency in the use of basic Microsoft office application/tools (MS Office, Visio, Smart draw, prototyping tools)

Skills:

• Strong problem-solving skills
• Skilled at managing cross-functional teams in a matric organization
• Excellent verbal and written communication skills
• Execution focused – “get it done or go home” attitude
• Strong leadership, inspirational and managerial skills
• Sound Judgment and on-your-feet decision-making ability
• Excellent relational skill

Personal Qualities:

• Should have a strong presence and aura of a business executive.
• Willing to get his hands dirty and write codes when required.
• Highly organized and efficient; able to multi- task effectively and prioritize work based on minimal direction and multiple competing priorities
• Can-do approach
• Committed to delivering high quality results, with cost effective use of resources
• Discreet and respects confidentiality
• Integrity and high personal ethical standards

Additional Information

• Working conditions: Flexibility is important.
• Equal opportunity: The role is open to anyone who meets the above criteria regardless of race or nationality
• Remuneration: Competitive based on experience