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  • Posted: Aug 22, 2025
    Deadline: Not specified
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  • We are a management consulting firm resting on three oars - People, Systems & Technology. At psyntech, we understand current trends as they occur across industries and as such, our clients can rely on receiving innovative, well tailored, contextual & practical solutions to their business needs.
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    Data Scientist & Business Intelligence Reporting Specialist

    Key Responsibilities

    Data Science & Advanced Analytics

    • Collaborate with stakeholders to identify and prioritize opportunities for leveraging data to solve complex business challenges.
    • Mine, clean, and analyze large datasets from multiple sources to uncover trends, patterns, and optimization opportunities.
    • Build, validate, and deploy predictive models, machine learning algorithms, and statistical analysis to optimize customer experience, revenue generation, and operational processes.
    • Develop, implement, and maintain custom algorithms, simulation models, and forecasting tools.
    • Design and manage A/B testing frameworks, evaluating results to refine business strategies.
    • Research and assess new data sources, ensuring integrity, accuracy, and relevance for analytics initiatives.

    Business Intelligence & Reporting

    • Develop and maintain interactive dashboards, reports, and visualizations using BI tools (e.g., Power BI, Tableau, Qlik, or Looker).
    • Translate complex analytical findings into clear, actionable insights for non-technical stakeholders and executive leadership.
    • Create automated reporting pipelines to ensure timely delivery of key metrics.
    • Monitor data quality, integrity, and governance in BI environments.
    • Partner with cross-functional teams to define and track KPIs, performance metrics, and success criteria for projects.

    Qualifications & Skills

    Essential:

    • Degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
    • 5–7 years of experience in data science, statistical modeling, and BI reporting.
    • Advanced proficiency in statistical computer languages (e.g., Python, R, SQL) for data manipulation and analysis.
    • Strong knowledge of machine learning techniques (e.g., regression, classification, clustering, neural networks, decision trees) and statistical methods (e.g., hypothesis testing, probability distributions).
    • Proven experience in BI tools (Power BI, Tableau, Qlik, etc.) and data visualization best practices.
    • Strong database querying skills (SQL, MySQL, PostgreSQL) and experience with distributed data tools (Hadoop, Hive, Spark).
    • Familiarity with cloud data environments (AWS Redshift/S3, Azure Synapse, Google BigQuery).
    • Excellent communication skills, with the ability to present complex data findings clearly to non-technical audiences.

    Preferred:

    • Experience with version control systems (Git/GitHub).
    • Familiarity with APIs, web scraping, and integration of external data sources.
    • Knowledge of advanced analytics environments (Gurobi, MATLAB, SAS).
    • Understanding of data governance, compliance, and security best practices.
    • Experience with 3rd party analytics tools (Google Analytics, Facebook Insights, Adobe Analytics).

    Core Competencies

    • Analytical Thinking: Ability to approach problems logically and make data-driven decisions.
    • Business Acumen: Understands how data insights impact revenue, cost, and operational efficiency.
    • Collaboration: Works effectively across departments with varying technical backgrounds.
    • Adaptability: Stays ahead of emerging analytics and BI technologies.
    • Innovation: Proactively identifies opportunities to enhance processes, products, and services using data.

    Performance Metrics

    • Accuracy, reliability, and adoption rate of developed models and BI dashboards.
    • Measurable impact of analytics initiatives on revenue, cost savings, and efficiency.
    • Stakeholder satisfaction with the quality and timeliness of insights delivered.
    • Reduction in manual reporting through automation.

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    Method of Application

    Interested and qualified candidates should apply using the Apply Now button below.

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