Data Analyst - Marie Stopes Ghana

Established in 2006, MSI Ghana is an affiliate of MSI Reproductive Choices and one of the largest specialized Sexual and Reproductive Health (SRH) organizations in Ghana. MSIG complements the Ministry of Health by providing quality, affordable general health and SRH services across all regions of Ghana.

At MSI Reproductive Choices, we are unapologetically pro-choice. We believe every individual has the right to make decisions about their own body and future. Our goal is to reach the underserved and expand equitable access to Family Planning and other SRH services.

MSI Ghana invites applications from qualified, experienced, and high-performing professionals for the position of Data Analyst.

Location: Accra, Ghana

Reporting Line: Director of Programs

Probation: 3 months

About the Role

The Data Analyst is a strategic, performance-focused role responsible for driving analytics, performance monitoring, and data-informed decision-making across all MSIG business  units, Centers, Social Marketing, and Public Sector Strengthening (PSS).

The role is accountable for designing and managing integrated data systems, generating high-quality insights, and ensuring that data is actively used to improve service delivery, client outcomes, and revenue performance.

As a key business partner, the role holder contributes directly to performance management processes, providing critical analysis, identifying root causes of performance gaps, and recommending practical, data-driven solutions. The Data Analyst ensures that MSIG moves beyond reporting to actively using data to drive operational and strategic decisions.

1. Data Architecture & Systems Leadership

• Lead the strategic design, architecture, and integration of MSIG’s data ecosystem, ensuring all datasets across Centers, Social Marketing, and PSS are coherent, scalable, and decision ready.
• Oversee data integration from multiple platforms (DHIS2, Comcare, Kobo, ERP systems, EHR, ESS, dashboards) and ensure seamless interoperability for real-time reporting and analysis.
• Maintain and enforce data governance standards, including documentation, workflows, metadata management, and compliance with organizational and donor requirements.
• Collaborate with IT, operations, and program teams to proactively identify system bottlenecks, implement process improvements, and strengthen functionality and user adoption.
• Champion data architecture innovation, identifying opportunities to automate processes, improve efficiency, and enhance analytics capabilities.

2. Data Quality & Accountability

• Lead organization-wide data quality initiatives, conducting routine assessments (DQAs) and implementing measurable standards for accuracy, completeness, timeliness, and consistency.
• Establish mechanisms to monitor and enforce data accountability, ensuring teams consistently meet quality standards and escalate issues when needed.
• Promote a culture of accountability, where data quality is embedded in all operational and programmatic processes.
• Build the capacity of staff and stakeholders to use data systems effectively, ensuring they understand quality standards, workflows, and the strategic use of data.
• Regularly report on data quality performance, highlighting trends, risks, and opportunities for improvement.

3. Advanced Analytics & Decision-Support

• Conduct in-depth trend, cohort, segmentation, and performance analyses to uncover drivers of success or underperformance across all channels.
• Translate complex datasets into actionable insights that inform programmatic, operational, and commercial decisions, supporting leadership in strategy and resource allocation.
• Identify emerging risks and opportunities using predictive and performance-driven analysis, providing clear recommendations for interventions and improvements.
• Lead the development of automated dashboards and reporting tools, ensuring decision-makers have timely, accurate, and visual data at their fingertips.
• Serve as a strategic partner in performance reviews, challenging teams with evidence, identifying gaps, and driving operational improvements.

4. Monitoring, Evaluation & Learning (MEL) Leadership

• Lead the design, implementation, and continuous improvement of MEL frameworks for all programs, including donor-funded projects.
• Develop, monitor, and interpret KPIs and performance metrics aligned with organizational and donor priorities, ensuring insights drive results.
• Support program teams in adaptive management, helping them use MEL data to adjust strategies, improve outcomes, and achieve targets.
• Produce high-quality donor reports, evaluations, and performance briefs, ensuring accuracy, timeliness, and alignment with reporting requirements.
• Capture and disseminate lessons learned, best practices, and evidence-based insights to foster organizational learning and continuous improvement.

5. Cross-Functional Support & Capacity-Building

• Act as a trusted analytical and MEL partner to program, center, and social marketing teams, providing guidance, insights, and recommendations for performance improvement.
• Standardize reporting templates, dashboards, indicators, and tools across channels to ensure consistency and comparability of data.
• Champion a culture of data-driven decision-making, embedding analytics and evidence-use into planning, operations, and strategy.
• Train and mentor staff across teams on data literacy, dashboard interpretation, and performance management, building a sustainable internal capability.
• Collaborate closely with leadership to align data and MEL initiatives with organizational goals, ensuring analytics directly informs strategic and operational decision-making.

KPI Ownership

Own performance frameworks and KPIs across all channels:

• Centers: revenue, CYPs, client volume, operational metrics
• Social Marketing: sales, CYPs, revenue, market performance
• PSS: facility performance, reporting quality, client outcomes

Drive accountability by monitoring performance, identifying gaps, and providing actionable recommendations.

Required Skills or Experience

Qualifications

• Bachelor’s degree in data science, Statistics, Public Health, Health Information, or a related field.
• Master’s degree in data Analytics, Public Health, or a related field is strongly preferred.
• Professional certification in Power BI, SQL, Advanced Excel, DHIS2, or related tools is required.

Experience

• Minimum of 7–10 years of relevant experience in data analytics, business intelligence, or MEL.
• Proven experience in performance analytics, dashboard development, and decisionsupport roles.
• Experience working across multiple business units or complex programs.
• Experience in health, NGO, or development sector is an advantage.

Skills & Competencies

• Advanced proficiency in Power BI/Infor BI, Excel, SQL, and data visualization tools.
• Strong expertise in data modelling, system integration, and analytics.
• Ability to translate complex data into actionable insights.
• Strong understanding of KPI frameworks, performance management, and MEL systems.
• Excellent communication and stakeholder engagement skills.
• Strong problem-solving ability and attention to detail.

Attributes & Behaviours

• Strategic and results-oriented mindset.
• High level of integrity, accountability, and professionalism.
• Ability to influence and challenge using data.
• Strong collaboration and stakeholder engagement skills.
• Commitment to MSIG values, including pro-choice and safeguarding principles.

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