Salary
$3.5k – $6.9k per year
Location
In office (Lahore)
Employment
Full-Time
First seen by Alion on Oct 22, 2026.
Overview
Company
Impact
Profile match
Job Description: SD Solutions is a dynamic sports data and software development company delivering high-quality, real-time insights and technology solutions to clients worldwide. We specialize in providing accurate and actionable sports data services, including comprehensive InPlay (live) data coverage, enabling businesses to make informed decisions in fast-moving environments.
Alongside our data expertise, SD Solutions offers full-scale software development services, building modern, scalable websites, platforms, and databases tailored to client needs. Our development team leverages the latest technologies, including PHP (Laravel), Python, and other advanced frameworks, to create secure, efficient, and high-performing solutions.
By combining deep sports industry knowledge with cutting-edge technology, SD Solutions empowers organizations to enhance performance, optimize operations, and stay ahead in a competitive landscape.Job Specification:
Alongside our data expertise, SD Solutions offers full-scale software development services, building modern, scalable websites, platforms, and databases tailored to client needs. Our development team leverages the latest technologies, including PHP (Laravel), Python, and other advanced frameworks, to create secure, efficient, and high-performing solutions.
By combining deep sports industry knowledge with cutting-edge technology, SD Solutions empowers organizations to enhance performance, optimize operations, and stay ahead in a competitive landscape.Job Specification:
- Strong data analysis skills, including data cleaning, validation, exploratory analysis, and interpretation.
- Proficiency with spreadsheets and SQL for querying, transforming, and checking structured data.
- Experience using Python or R for statistical analysis and repeatable data workflows.
- Ability to create clear dashboards, charts, and reports with tools such as Power BI, Tableau, or equivalent.
- Sound understanding of descriptive statistics, statistical reasoning, and data quality practices.
- Interest in sports statistics and ability to interpret player, team, and match performance measures.
- Careful attention to detail, organized documentation, and a methodical approach to resolving discrepancies.
- Clear written and verbal communication, including the ability to explain analytical results to non-technical stakeholders.
- Collaborative problem-solving and time management when handling recurring reporting and ad hoc analysis.
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