Senior Data Analyst

Tangerine Search Inc.; United States; On-site; USD 80,000 - 100,000; Full time

Job summary

A recruiting agency is looking for an Advanced Data Analyst in the United States. This mid-senior level position involves extracting actionable insights from complex data sources and collaborating with cross-functional teams. The ideal candidate has a Bachelor's or Master's degree in a relevant field, significant experience in data analysis, and advanced SQL skills. Additionally, the role requires proficiency in statistical programming and data visualization tools. This full-time position offers a competitive salary range of $80,000 to $100,000 per year.

Qualifications

• 3-5 years of hands-on experience in data analysis or data science.
• Excellent written and verbal communication skills.
• Strong organizational skills for managing multiple projects.

Responsibilities

• Acquire, clean, and analyze complex datasets using statistical techniques.
• Build, evaluate, and deploy predictive models.
• Design dashboards and automated reports.

Skills

Advanced proficiency in SQL

Statistical programming (Python or R)

Data visualization tools (Tableau, Power BI, Looker)

A/B testing and experiment design

Education

Bachelor's or Master's degree in relevant fields

Professional certification in data analytics

Job description

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Tangerine Search Inc. provided pay range

This range is provided by Tangerine Search Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$80,000.00/yr - $100,000.00/yr

Position Overview

The Advanced Data Analyst will play a pivotal role in extracting actionable insights from large and complex data sources. You will partner with cross-functional teams, including business leaders, engineers, and product managers, to translate organizational goals into data-driven strategies. Your expertise in statistical modeling, machine learning, and visualization will enable our company to make informed decisions and maintain a competitive edge.

Key Responsibilities

• Data Exploration and Analysis: Acquire, clean, and analyze complex datasets from a variety of sources using advanced statistical techniques. Identify trends, patterns, and anomalies that inform strategic business decisions.
• Model Development: Build, evaluate, and deploy predictive and prescriptive models. Continuously refine models based on new data and feedback from stakeholders.
• Business Intelligence & Reporting: Design and create dashboards, visualizations, and automated reports to communicate findings clearly and effectively to technical and non-technical audiences.
• Stakeholder Collaboration: Work closely with business leaders, IT professionals, and product teams to understand requirements, deliver insights, and provide data-driven recommendations.
• Process Improvement: Evaluate existing data processes and recommend enhancements to improve data quality, accessibility, and analysis efficiency.
• Data Governance: Ensure data integrity, privacy, and compliance with relevant regulations and company policies.
• Continuous Learning: Stay abreast of emerging trends in analytics, machine learning, and data visualization. Mentor junior analysts and contribute to knowledge‑sharing initiatives.

Qualifications

• Education: Bachelor's or Master's degree – preferably in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. Professional certification in data analytics, data science, or related areas (e.g., Certified Analytics Professional, Microsoft Certified Data Analyst Associate) also considered.
• Experience: 3-5 years of hands‑on experience in data analysis, business intelligence, or data science roles.
• Advanced proficiency in SQL and relational databases.
• Skills in statistical programming languages such as Python or R preferred.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Background in A/B testing, experiment design, and causal inference.

Additional Qualifications

• Analytical Abilities: Demonstrated ability to apply advanced statistical and analytical methods to solve complex business problems.
• Communication: Excellent written and verbal communication skills, with the ability to present complex information clearly to varied audiences.
• Problem‑Solving: Creative thinker with a passion for tackling ambiguous business challenges and generating actionable insights.
• Project Management: Strong organizational skills and experience managing multiple projects simultaneously.
• Adaptability: Comfortable working in fast‑paced environments and adapting to changing business needs.
• Ethics and Integrity: Commitment to data privacy, ethical analytics, and responsible use of information.

From Tangerine Search

Tangerine Search is an equal opportunity agency that values diversity. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Analyst

Industries

Software Development