Hejaz is an established Islamic financial services provider dedicated to empowering Muslim and values-driven investors through a comprehensive financial ecosystem and innovative fintech solutions. Through services such as investments (managed funds and ETFs), property financing, and digital solutions, we help individuals and families grow their wealth while building a better future aligned with their faith and principles.

As we continue to expand globally, we’re looking for talented professionals to join us in shaping the future of Sharia-compliant finance

We are looking for a data-driven and detail-oriented Data Analyst to join our User Operations team. In this role, you will be the go-to person for daily operational data needs, from ad-hoc queries and report maintenance to deep-dive user behavior analysis and A/B testing. You will work closely with product, engineering, and marketing teams to turn raw data into actionable insights that improve user engagement, retention, and growth across our global platforms.

If you enjoy solving complex problems with data, thrive in a fast-paced environment, and want to see your analysis directly shape product and business decisions, this is the role for you.

Daily Operational Data Support

• Handle routine data extraction, reporting, and ad‑hoc query requests from the operations team (e.g., campaign data pulls, user segment slices, anomaly data investigations). Ensure timely and accurate data delivery.

Maintain and update core operational dashboards (e.g., daily DAU/retention/conversion reports, weekly campaign performance summaries). Automate recurring reports to minimize manual effort.Perform daily data quality checks on tracking events; detect missing or anomalous data promptly, and coordinate with engineering teams to resolve issues.

User Behavior Deep‑Dive Analysis

• Conduct in‑depth analysis of user behavior funnels (acquisition, activation, retention, conversion, churn). Build user segmentation models and deliver user profiles and behavioral insights.

Continuously monitor key user metrics (DAU/MAU, retention, conversion rate, LTV, CAC, etc.). Investigate anomalous trends and work with operations teams to identify root causes.

A/B Testing & Campaign Evaluation

Design and analyze A/B tests (e.g., push notifications, landing pages, membership benefits, search suggestions) with statistical rigor, providing actionable recommendations to drive operational iterations.Perform pre‑campaign forecasting, real‑time monitoring, and post‑campaign ROI analysis for growth initiatives (viral acquisition, seasonal events, KOL collaborations, etc.).

1. Data Infrastructure & Dashboard Development

Build and maintain self‑service dashboards (Daily / Weekly) to enable the operations team to access key metrics efficiently.Collaborate with data engineers to standardize event tracking, define data calibers, and maintain a data dictionary to ensure data accuracy and consistency.

Special‑Purpose Deep‑Dive Projects

Conduct targeted analyses on specific user segments (e.g., dormant users, high‑value payers, new users) and propose actionable strategies for re‑engagement, retention, and monetization.Incorporate market trends and competitive intelligence to inform operational strategy.

Cross‑functional Collaboration

Work closely with product, engineering, marketing, and content moderation teams to translate data insights into product features and operational actions that drive business growth.

• Education: Bachelor’s degree or above in Mathematics, Statistics, Computer Science, Economics, Information Management, or related fields.
• Experience: 2+ years of data analytics experience in the internet industry, preferably with a focus on user operations, growth, or product analytics.
• Technical Skills:
• Proficient in SQL – able to write complex queries efficiently and handle a high volume of ad‑hoc data requests.
• Proficient in Python or R for data cleaning, modeling, and visualization (Pandas, NumPy, Matplotlib/Seaborn, etc.).
• Advanced Excel (pivot tables, VBA, complex formulas) and experience with BI tools such as Tableau or PowerBI; proven experience in building and maintaining dashboards.
• Basic understanding of A/B testing methodologies – able to design experiments and interpret results.