Senior Data Analyst

Curb Mobility; New York (NY); On-site; USD 80,000 - 100,000; Full time

Job summary

A technology-driven company in New York is seeking an Advanced Data Analyst to extract insights from large datasets. The role involves data exploration, model development, and collaboration with cross-functional teams to drive data-driven strategies. Candidates require a Bachelor’s or Master’s degree in a relevant field and at least 5 years of experience in data analysis, alongside skills in SQL, Python, and data visualization tools. This is a full-time position offering a salary range of $80,000 - $100,000 per year.

Qualifications

• Minimum of 5 years of experience in data analysis or data science roles.
• Advanced proficiency in SQL and relational databases.
• Expert-level skills in statistical programming languages like Python or R.
• Experience with data visualization tools such as Tableau or Power BI.
• Knowledge of data warehousing concepts and ETL processes.

Responsibilities

• Acquire, clean, and analyze complex datasets for strategic business insights.
• Build and deploy predictive models using machine learning.
• Design dashboards and automated reports for diverse audiences.
• Collaborate with teams to deliver data-driven recommendations.
• Evaluate and improve existing data processes.
• Ensure compliance with data governance policies.

Skills

SQL

Python

R

Data Visualization

Statistical Analysis

Communication

Problem-Solving

Project Management

Adaptability

Education

Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field

Tools

Tableau

Power BI

Looker

Job description

This range is provided by Curb Mobility. 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

About the Role

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.

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 using machine learning algorithms. 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 in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. Or Professional certification in data analytics, data science, or related areas (e.g., Certified Analytics Professional, Microsoft Certified Data Analyst Associate).
• Experience: Minimum of 5 years of hands‑on experience in data analysis, business intelligence, or data science roles.
• Advanced proficiency in SQL and relational databases.
• Expert‑level skills in statistical programming languages such as Python or R.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Knowledge of data warehousing concepts and ETL processes.
• Background in A/B testing, experiment design, and causal inference.
• Experience leveraging APIs and integrating external data sources.
• Exposure to natural language processing and text analytics.

Required Skills

• 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.

Curb is proud to be an equal opportunity employer.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Analyst

Industries

Software Development

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