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Data Analytics Expert

SAPSOL Technologies • English: B2 • Commerce • SQL • Power BI • 3 months ago
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Salary
≈ $17k – $33k per year (Estimated)
Location
Remote (India)
Seniority
Senior
Employment
Contractor

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Jul 20, 2026. SAPSOL Technologies scores C on the Alion truth index.

Overview
Company
Impact
Profile match

SAPSOL Technologies

SAPSOL Technologies is an SAP consulting and IT services firm with its head office in Santa Clara, California, offering SAP S/4HANA, SuccessFactors, BTP and Analytics Cloud implementation, application maintenance and support, and staffing of SAP, IT and healthcare professionals. It also runs HireRig, a recruitment and placement portal, and develops AI products such as TraceSecure.ai and RoboCart.ai with a development team in Mississauga, Ontario. Its postings mix SAP consultant roles in finance, project systems, materials management and payroll, SAP training programmes for freshers, and contract engineering, DevOps, cybersecurity and desktop support positions.
sapsol.com • HQ: Santa Clara, United States • Enterprise Apps Implementation Partners • 501-1000 employees • Est. 2006

Responsibilities

  • AnalyzeE-Commerce, Finance,Growth, andOperationalperformance.
  • Deliver actionable insights and recommendations, notjustreports.
  • Evaluate projects and businessinitiatives based on data.
  • Build forecasting and predictivemodelsto support decision-making.
  • Analyze customer acquisition,revenue,profitability, andperformanceKPIs.
  • Work closelywithstakeholdersandchallenge assumptionsthroughdata-driven

insights.

  • Supportthe development of a data-driven culture and improve business

performance across departments.

Requirements

  • 5+ years of experience inDataAnalytics/Business Analytics.
  • Strong E-Commerce analytics experience.
  • Hands-on Machine Learning experience (applied business use cases).
  • Experiencewith Finance KPIs,Growth, RevenueAnalysis, Forecasting, and

Performance Analytics.

  • Strong SQL skills and experiencewith large datasets.
  • Ability to work independently, proactively, and strategically.
  • Strong business acumen with a focus on delivering answers and business value.
  • Excellentstakeholder management and communication skills.
  • Strong English communication skills

Technologies

  • SQL
  • BigQuery
  • Google Cloud Platform (GCP)
  • Snowflake
  • PowerBI
  • Machine Learning
  • Forecasting C Predictive Analytics

Nice-to-Have

  • Experience inmanufacturing environments.
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