Employer Active
Business Intelligence and Data Analytics
Work with key stakeholders and team members to identify strategic and tactical business needs and align appropriate data driven solutions to them.
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 application including software maintenance new user setup and best practices across user and data governance.
Lead crossfunctional 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
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.)
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 cloudbased 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 judgement 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 startup environment with dynamic business priorities.
Full Time