Manager

Apexcaretalentsolutions; Oakland (CA); Hybride; USD 85 000 - 110 000; Plein temps

Avantages offerts par ce poste

Competitive Compensation

Health & Wellness

Paid Time Off

Flexible Work

Professional Growth

Résumé du poste

Torsap Thai Kitchen in Oakland, CA is seeking an analytical Data Analyst to turn raw data into actionable business insights. You will collect, clean, and analyze datasets to identify trends, forecast performance, and create intuitive dashboards for key decision-makers.

The role involves collaborating with product, operations, and marketing to define metrics, ensure data quality, and deliver timely ad-hoc analyses for strategic planning.

Qualifications

• Strong proficiency in writing complex SQL queries (joins, aggregations, CTEs, window functions).
• Hands-on experience with BI platforms such as Power BI, Tableau, or Looker.
• Familiarity with Python or R for data manipulation, statistical analysis, and automated reporting.

Responsabilités

• Data Processing & Cleaning: Extract, transform, and clean raw data from relational databases and external sources using SQL and scripting languages.
• Dashboard & Reporting: Design, build, and maintain interactive dashboards and reports using BI tools to track KPIs.
• Exploratory Data Analysis: Conduct exploratory analysis to identify trends, patterns, anomalies, and optimization opportunities.
• Cross-Functional Collaboration: Partner with product, operations, and marketing teams to define business metrics and reporting requirements.
• Data Quality & Governance: Audit data pipelines and databases to maintain data integrity and accuracy.
• Ad-Hoc Analysis: Deliver timely ad-hoc data requests and support executive decision-making.

Connaissances

SQL queries

BI tools

Python or R

Analytical thinking

Communication

Data storytelling

Formation

High school diploma or equivalent

Bachelor’s in Statistics, Computer Science, Economics, or related field

Outils

Tableau

Power BI

Looker

Description du poste

Job Summary

We are seeking an analytical and detail-oriented Data Analyst to turn raw data into actionable business insights. In this role, you will collect, clean, and analyze datasets to identify trends, forecast performance, and create intuitive dashboards. You will work closely with cross-functional teams to help key decision-makers make data-driven strategic choices.

Responsibilities

• Data Processing & Cleaning: Extract, transform, and clean raw data from relational databases and external sources using SQL and scripting languages.
• Dashboard & Reporting: Design, build, and maintain interactive dashboards and reports using BI tools (e.g., Tableau, Power BI, Looker) to track key performance indicators (KPIs).
• Exploratory Data Analysis: Conduct exploratory analysis to identify trends, patterns, anomalies, and operational optimization opportunities.
• Cross-Functional Collaboration: Partner with product, operations, and marketing teams to define business metrics, gather reporting requirements, and present findings.
• Data Quality & Governance: Audit data pipelines and databases regularly to maintain data integrity, consistency, and reporting accuracy.
• Ad-Hoc Analysis: Deliver timely ad-hoc data requests, business modeling, and quantitative support for executive decision-making.

Skills & Qualifications

• Database & Querying: Strong proficiency in writing complex SQL queries (joins, aggregations, CTEs, window functions).
• BI & Visualization: Hands-on experience with business intelligence platforms such as Power BI, Tableau, or Looker.
• Scripting Languages: Familiarity with Python or R for data manipulation, statistical analysis, and automated reporting (using libraries like Pandas and NumPy).
• Analytical Thinking: Strong problem-solving ability with a track record of translating complex datasets into clear, business-focused insights.
• Communication: Ability to explain technical findings and quantitative trends to non-technical stakeholders effectively.
• Experience: High school diploma or equivalent required (Bachelor’s in Statistics, Computer Science, Economics, or related field preferred); 1–3+ years of experience in a data or business analyst role.

Benefits

• Competitive Compensation: Base salary or hourly rate based on experience, with performance-based bonuses.
• Health & Wellness: Comprehensive medical, dental, and vision insurance options.
• Paid Time Off: Paid vacation, sick leave, and company holidays.
• Flexible Work: Remote or hybrid scheduling options with flexible working hours.
• Professional Growth: Annual learning stipend for data science courses, certifications, and technical workshops.