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Market Intelligence

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Company Overview:

Established in 2013, Lixia Capsia Gestionis LLC (LixCap), is an international development consultancy founded by finance experts passionate about mobilizing private sector resources to achieve sustainable development outcomes. A U.S.-based company with roots in North Africa and offices in Casablanca, Morocco, Tunis, Tunisia, and Washington D.C, USA., LixCap's mission is to support economic development in emerging markets. LixCap offers expertise that bridges the Anglophone and Francophone worlds, providing market insights and project support to government agencies, private sector companies and donor agencies such as USAID, USDA, USTDA, the World Bank Group, and the European Bank for Reconstruction and Development (EBRD). LixCap specializes in investment development, from advisory work to programming in entrepreneurship and private sector access to finance development with a special emphasis on the agribusiness sector, logistics, green economy investment, and renewable energy.

Responsibilities:

  • Market Research & Strategic Analysis

- 

Conduct In-Depth Market Analysis: Perform market sizing, growth analysis, competitor benchmarking, and trend identification.

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Leverage Secondary Data: Mine and integrate data from diverse sources such as trade databases, industry reports, and official statistics.

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Handle Data Ambiguity: Work comfortably with incomplete or imperfect datasets, applying critical thinking to validate numbers and clearly communicating assumptions and limitations.

  • Data Engineering & Modeling

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Data Prototyping: Utilize Advanced Excel and Power Query to clean, transform, and prototype data workflows rapidly.

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Data Modeling for BI: Structure data specifically for visualization performance, ensuring efficient filtering, correct granularity, and instant rendering of visuals.

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Integration: Merge market, trade, and macroeconomic data streams into unified analytical datasets ready for reporting.

  • Advanced Visualization & Dashboarding

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Develop Dynamic Dashboards: Build advanced, highly interactive dashboards using Power BI, R Shiny, or custom web-based frameworks.

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Implement Interactivity: Create user-centric tools featuring dynamic parameters, "what-if" analysis sliders, customized tooltips, and drill-through actions.

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Data Storytelling: Design reports with a strong narrative flow, arranging visuals to guide stakeholders through a logical analytical path rather than presenting isolated charts.

Minimum Requirements:

  • Education:
    Master's degree in Economics, Business, Data Science, Statistics, or a related field.
  • Experience:

Proven experience in a role combining market research with technical data visualization.
- Mindset & Soft Skills:

A skeptical and analytical mindset that questions data validity and constantly looks for the "why" behind the numbers.
- Communication:

Ability to bridge the gap between technical data findings and strategic business

recommendations.
- Market Research:

Strong grasp of methodologies for market sizing and benchmarking using secondary sources.
- Excel Mastery:

Advanced proficiency, specifically with
Power Query/M

for data transformation.
- BI & Visualization:

- 

Deep expertise in Power BI (DAX, Modeling) OR R Shiny.

- 

Experience building browser-based dashboards using JavaScript frameworks is a strong plus.

- 

Ability to design for UX (User Experience) and narrative flow.

Preferred Knowledge, Skills, and Abilities:

  • Strong cross-cultural and cross-functional communication skills.
  • Knowledge or exposure to sectors such as cold chain logistics or energy is a plus, but not required.
  • Skills in data analysis, data visualization, and econometric modeling are preferred.
  • A portfolio or work samples showcasing your ability to design interactive, user-friendly dashboards (Power BI, R Shiny, or custom web) is a strong plus.

Benefits:

  • CNSS/AMO.
  • Complementary health insurance.
  • Growth opportunities inside the company for high-performing and motivated team members.

To Apply:

  • Kindly submit your
    CV, samples of your dashboard projects (links or PDF), and a Cover Letter
    to , outlining why you believe you're a good match for this role.