Jobs at Babban Gona

About the job

We are seeking a highly skilled and experienced Senior Data Analyst to join our team. The Senior Data Analyst will be responsible for analyzing complex data sets, identifying trends, and providing actionable insights that contribute to the strategic decision-making process. The successful candidate will collaborate with cross-functional teams to drive data-driven initiatives and contribute to the growth and success of our company.

• Collect, analyze, and interpret large and complex data sets using statistical techniques and data visualization tools to identify trends, patterns, and insights.
• Develop and maintain data models, dashboards, and reports that provide meaningful insights to stakeholders across the organization.
• Collaborate with cross-functional teams, including product development, marketing, and operations, to identify business needs and develop data-driven solutions.
• Design and execute experiments to test hypotheses and validate assumptions, using appropriate statistical methods and tools.
• Provide strategic recommendations based on data analysis, forecasting, and predictive modeling to support business decision-making and drive performance improvement.
• Identify data quality issues, perform data cleansing, and work closely with the data engineering team to ensure data integrity and accuracy.
• Stay updated on industry trends, emerging technologies, and best practices in data analysis and visualization, and apply them to improve data analysis processes and techniques.
• Communicate complex analytical concepts and findings to non-technical stakeholders through clear and compelling visualizations, reports, and presentations.
• Mentor and provide guidance to junior data analysts, fostering a culture of continuous learning and professional growth.
• Ensure compliance with data governance and security policies, and adhere to regulatory requirements related to data privacy and protection.

Requirements

Work Experience

• Bachelors degree in data science, computer science, statistics, mathematics, or a related field. A masters degree is a plus.
• Minimum of 4 years of experience in a data analyst or similar role, with a proven track record of delivering data-driven insights and solutions.
• Strong proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. Experience with data visualization tools (e.g., Tableau, Power BI) is highly desirable.
• Advance data analytics skills using Microsoft Excel.
• In-depth knowledge of statistical analysis methods, predictive modeling, and data mining techniques.
• Experience with data manipulation, data cleaning, and data transformation processes.
• Familiarity with data warehousing concepts, data modeling, and database management systems.
• Excellent analytical and problem-solving skills, with the ability to think strategically and provide actionable insights from complex data sets.
• Strong business acumen, with the ability to understand and translate business requirements into data analysis and reporting solutions.
• Excellent communication and presentation skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders.
• Proven ability to work in a fast-paced, dynamic environment, managing multiple priorities and meeting deadlines.

Start Up Environment

• Thrives in a fast paced, start-up environment with dynamic business priorities.

Unlocking Potential of Team Members

• Extensive experience and passion for coaching mentoring a team.

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Key Responsibilities

• Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.
• Partner with required team members to design and build targeted dashboards/reports and predictive models, to represent operational data in brief and intelligible format suitable for the target audience.
• Develop scalable and recurring processes and reporting to support the organizational business needs.
• Support and/or lead communication with subject matter experts across multiple departments and levels of leadership to define BI requirements and strategy.
• Support the administration of business intelligence applications including software maintenance, new user setup, and best practices across user and data governance.
• Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Play a critical role in leading Monitoring and Evaluation activities; data collection, planning and implementation of monitoring and evaluation tools that support MEL at an organizational and programmatic level.
• Other responsibilities and tasks required to support organizational goals and objectives

Requirements

Experience in Business Intelligence and Data Analytics

• Bachelors degree in a calculation intensive field such as Mathematics, Statistics, Computer Science, Engineering, Finance, etc.
• 3 - 5 years of related experience in a Business Intelligence or Data Analytics role
  • Experience using data analytics tools such as Power BI and/or Tableau
  • Experience with languages such as Python, SQL, etc.
  • Experience using Microsoft Office packages including Excel, PowerPoint, Word and Access
  • Adequate grasp of business and economic principles (macroeconomics, microeconomics, etc.
• Adequate grasp of business and economic principles (macroeconomics, microeconomics, etc.)
• Demonstrated ability to interpret data to derive business insights
• Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
• Understanding of and experience using analytical concepts and statistical techniques: hypothesis testing, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
• Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.

Other Requirements

• Strong quantitative and analytical skills with business knowledge and excellence in planning and execution.
• High proficiency in Data Analysis tools and programming languages, particularly Python, SQL, and Power BI.
• Strong knowledge of predictive modelling and machine learning algorithms/concepts.
• Strong problem solving, good judgment, strategic and multidimensional thinker.
• Strong ability to plan and manage numerous processes, people and projects simultaneously.
• Excellent communication, collaboration and delegation skills.
• Ability to work independently or collectively to develop ideas and lead or contribute to initiatives that will support the attainment of revenue and/or attainment of market share.
• Proven ability to leverage technology to translate business requirements.
• Ability to manage multiple tasks and projects simultaneously, owns deliverables end to end, and partners with other teams to achieve goals.

Start Up Environment

• Thrives in a fast-paced, start-up environment with dynamic business priorities.

Work Location

• This role would be based in Lagos.

Benefits

• Competitive salary
• Health Insurance
• Pension
• Performance Bonus
• Annual paid vacation
• Group Life Insurance