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Business Analytics Specialist

Alion

Per-per 'a', Eastern Region, Uganda · Full Time

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Experience
3+ yrs
Salary
—
Openings
1
Posted
3 weeks ago
Work mode
In office
Education
Bachelor’s degree or equivalent experience
Resume
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Job description

About the Role

We seek a skilled Business Analytics Specialist to take a leading role within the Global Metrics team. This position involves defining and enhancing the data architecture, standards, and analytical foundations that underpin Customer Support operations on a global scale.

Key Responsibilities

  • Manage and advance the Bronze, Silver, and Gold data architecture layers across the Global Metrics platform.
  • Create scalable architectural solutions integrating new Customer Support platforms and data sources.
  • Design dimensional, relational, and analytical data models suitable for various consumption methods.
  • Set guidelines for data ingestion, transformation, storage, and utilization ensuring robust data governance.
  • Develop integration methods spanning APIs, cloud storage solutions, SaaS platforms, and enterprise data ecosystems.
  • Formulate principles ensuring data quality, traceability, lineage, scalability, and maintainability.
  • Collaborate with Data Engineering teams to transform architectural designs into functional production deployments.
  • Review and verify technical plans align with established Global Metrics architectural standards.
  • Architect scalable data pipelines using Databricks and dbt, accommodating large datasets and substantial ingestion workloads.
  • Define transformation strategies optimized for distributed computing environments.
  • Enhance data models and pipelines for improved performance, scalability, reliability, and cost-efficiency.
  • Implement ingestion strategies via platforms like Fivetran, APIs, file integrations, and cloud storage.
  • Design both batch and incremental data processing methods ensuring monitoring, recoverability, and quality control.
  • Lead the development of semantic layers and analytics frameworks, including KPIs, metrics, and dimensions for consistent reporting.
  • Convert business concepts into standardized analytical definitions and models, promoting reuse and reducing duplicated effort.
  • Work with Business Analysts and stakeholders to validate that metrics truthfully capture business processes.
  • Set standards for KPI calculations, business rules, taxonomies, and naming conventions fostering coherent metric definitions.
  • Maintain business glossaries and data dictionaries to support governance.
  • Plan how new systems and vendor solutions integrate into the Global Metrics ecosystem including evaluating APIs, event streams, and managed ingestion options.
  • Advise on system-of-record strategies and design data models enabling comprehensive traceability across Customer Support domains.
  • Engage with internal teams and external vendors to assess data availability, integration capability, and align architectures.

Qualifications and Experience

  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, Statistics, or closely related field, or equivalent professional experience.
  • At least 3 years’ experience in Data Engineering, Analytics Engineering, Data Architecture, or Business Intelligence Architecture.
  • Proven ability to design and implement scalable analytical data systems.
  • Hands-on experience with Databricks, dbt, advanced SQL, dimensional data modeling, and data warehouse/lakehouse architectures.
  • Knowledge of Medallion Architecture (Bronze/Silver/Gold) and semantic analytical models.
  • Experience handling large-scale datasets and designing high-volume, performant data pipelines.
  • Familiarity with ingestion tools like Fivetran and distributed processing frameworks such as Spark is preferred.
  • Experience developing analytics solutions for BI platforms such as Tableau, Power BI, Looker, or equivalents.
  • Understanding of AI-focused data architectures including LLM analytics, context engineering, NLP, and AI-related data principles is a benefit though not mandatory.

Benefits

  • Comprehensive health insurance covering employees and immediate family members, fully company funded.
  • Life insurance coverage included.
  • Permanent employment contract without a fixed term.
  • 20 days of paid vacation annually plus unlimited sick leave.
  • Annual $2000 travel stipend for co-working and $2000 for professional development.
  • Additional perks including phone financing, audio equipment and home office allowances, wellness benefits, and catered meals.

Minimum education

Bachelor's Degree

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