Data Analytics Lead at Vanguard Economics: (Deadline 16 July 2024)

Data Analytics Lead at Vanguard Economics: (Deadline 16 July 2024)

Data Analytics Lead at Vanguard Economics: (Deadline 16 July 2024)

Data Analytics Lead – UGANDA

Kampala, Kampala

Company Overview: 

Vanguard Economics Ltd, founded in 2015 in Kigali, is as an advisory and research firm dedicated to delivering high-quality socio-economic and strategic research services tailored to the African context. Based on the notion that “social change is not a project that one group of people carries out for the benefit of another,” our main strategic goal is to build the next generation of African researchers in our areas of expertise. Our clients include Governments, private firms, multilateral institutions, foundations, and NGOs. Read more about us: Here

Job Overview 

We are seeking a highly skilled and experienced Data Analytics Lead to lead our quantitative data analysis activities. This role will be responsible for leading our quarterly impact monitoring and annual reporting efforts, ensuring that our data-driven insights support project goals and strategic decision- making and strategic decision-making processes.

Key roles and responsibilities 

  • Strategy: 
  • Co-develop VE’s data road map with the program teams, the MEL team, and Innovation team to improve programs’ efficacy and efficiency.
  • Identify and develop data-related strategic partnerships aligned with the organization’s strategy.
  • Lead Quantitative Data Analysis: Oversee and conduct comprehensive quantitative data analysis as part of our quarterly impact monitoring and annual reporting processes. Ensure data accuracy, integrity, and relevance to the organizational objectives.
  • Impact Monitoring: Develop and implement frameworks for continuous impact monitoring, utilizing statistical techniques to measure and analyze the effectiveness of programs and initiatives.
  • Annual Reporting: Lead the preparation of detailed annual reports, synthesizing complex data into actionable insights in strategic recommendations for stakeholders.
  • Agile Project Management: Apply agile methodologies to manage data analytics projects, ensuring timely delivery, adaptability, and collaboration across multidisciplinary teams.
  • Data Visualization: Create compelling data visualizations and dashboards to communicate findings effectively to both technical and non-technical audiences.
  • Stakeholder Collaboration: Work closely with cross functional teams, including finance and operations, to understand data needs and deliver insights that drive business value.
  • Mentorship and Leadership: Mentor and guide junior data analysts, fostering a culture of continuous learning and professional development within the team.
  • Data Governance: Establish and enforce data governance policies to maintain high standards of data quality and security.
  • Technology Management: Stay up to date with industry trends and advancements in data analytics tools and technologies. Recommend and implement best in class solutions to enhance analytical capabilities. It
  • Business Development:
  • Contribute regularly to proposals, reporting, advocacy briefs, and other external communications that rely on robust analysis, visualization, and interpretation of data.
  • Conceptualize and initiate new, creative, and effective ways of telling our impact stories with our data.

Qualifications and Experience 

  • Education: Bachelor’s degree in data science, statistics, computer science, economics, or a related field. A master’s degree is preferred.
  • Experience: Minimum of five years of experience in data analytics, with a proven track record of leading complex data analysis projects, experience in agile project management is highly desirable.
  • Technical skills: 
  • Proficiency in statistical software and programming languages (e.g., R, Python)
  • Advanced knowledge of data visualization tools (e.g., Tableau, Power BI)
  • Experience with database management and querying (e.g., SQL)
  • Analytical skills: strong analytical and problem-solving skills with the ability to interpret complex data sets and derive actionable insights.
  • Communication skills: excellent verbal and written communication skills, with the ability to present complex information clearly and concisely to diverse audiences.
  • Leadership skills: demonstrated ability to lead and motivate the team, manage multiple projects simultaneously, and work effectively in a fast-paced, dynamic environment.

Preferred Qualifications: 

  • Certification in Agile methodologies (e.g., scrum master, PMI-ACP)
  • experience and impact evaluation and performance measurement.
  • knowledge of machine learning techniques and their applications in data analysis

Preferred Skills 

  • Strong leadership and organizational skills.
  • Ability to work effectively using agile project management framework.
  • Excellent communication and interpersonal abilities.
  • Strategic thinking and problem-solving mindset.
  • Proficiency in project management and performance measurement.
  • Strong written and presentation skills.
  • Creative and innovative mindset.
  • Strong coaching and mentoring skills.
  • Knowledge of French language is added value.

What We Offer 

  • Work with talented, diverse, and motivated team members.
  • Competitive salary and benefits package based on the labor market and candidate’s experience.
  • Opportunities for professional growth and development.
  • Be part of the team that is addressing Socio-economic gaps through our projects.

How to Apply and Important Dates 

  • Fill in your information by clicking on the apply for this job link. Keep your Resume to a maximum of 2 pages and a 1-page cover letter.
  • Submission Deadline: July 16th, 2024 

Application Link: Click here to apply

Equal Opportunity Statement 

Vanguard Economics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, where individuals from all backgrounds are respected and valued.

Women are strongly encouraged to apply. 

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