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Open nowPosted 326 days ago

Data Analyst Lead

Tarshid12 open roles

Where
Saudi Arabia
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Your applicationOpen nowData Analyst LeadTarshid · Saudi Arabia

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The clock on this job

Early applications get read.

12.7% of postings close within 7 days. Measured by our own scanner across the market. Tarshid postings stay open a median of 9 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.7%7 days
  4. 20.4%14 days
  5. 35.6%30 days
  6. 58.7%60 days
This job: posted 326 days ago

Tarshid median: 9 days open

The posting

Job Description

Job Description – Data Analyst Job Summary

The Data Analyst will play a critical role in enabling Tarshid’s business units to make data-driven decisions. In the short term, this role will focus on collecting, cleaning, consolidating, and analyzing data from multiple systems to provide reliable reporting and insights. In the medium to long term, the Data Analyst will actively contribute to the design, testing, and adoption of Tarshid’s Data Lake and Business Intelligence platforms, enabling advanced analytics and AI-driven insights across the organization.

Key Responsibilities Immediate (Pre–Data Lake)

- Gather, validate, and consolidate data from multiple siloed systems and manual sources.

- Develop recurring and ad-hoc reports for Finance, Strategy, Shared Services, and Operations.

- Build dashboards and visualizations (Excel, Power BI) to track KPIs such as project progress, financial performance, and energy savings.

- Highlight trends, anomalies, and risks to support timely decision-making.

Transition (During Data Lake Implementation)

- Support IT/Digital Transformation in defining data requirements, integration points, and reporting needs.

- Map existing manual reports to future automated dashboards.

- Identify data gaps, inconsistencies, and recommend data quality rules.

- Participate in testing and validation of migrated datasets and dashboards.

Future (Post–Data Lake)

- Leverage centralized data to deliver predictive and prescriptive analytics.

- Enable AI/ML use cases (e.g., IoT smart meters, energy savings forecasting, operational optimization).

- Create scalable, automated dashboards for business self-service reporting.

- Partner with business stakeholders to translate strategic questions into data-driven insights.

Key Performance Indicators (KPIs)

- Deliver recurring standard reports within agreed timelines (e.g., weekly, monthly).

- Respond to ad-hoc data requests within 2–3 business days, depending on complexity.

- Ensure accuracy levels of at least 95% in reports and dashboards delivered.

- Support incident resolution related to reporting/data accuracy within 1 business day.

- Participate in governance meetings and provide updates as per the DT/IT governance cadence.

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