Sr. Data Analyst

Tangerine Search Inc.; New York (NY); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Comprehensive benefits

Opportunities for professional growth

Job summary

Tangerine Search Inc. is looking for a data-driven professional in New York to transform complex datasets into actionable business insights. In this role, you will analyze large datasets, develop predictive models, and collaborate with various stakeholders to support strategic initiatives through data analysis.

The ideal candidate has a Bachelor's degree in a quantitative field and 3–5 years of experience in analytics, with strong SQL and data visualization skills. The position offers competitive compensation and ample opportunities for professional growth.

Qualifications

• 3–5 years of experience in analytics of related field.
• Strong analytical and problem-solving abilities.
• Experience using business intelligence platforms.

Responsibilities

• Analyze complex datasets to uncover business improvement opportunities.
• Develop dashboards for key performance indicators.
• Collaborate with teams to define business objectives and metrics.

Skills

Advanced SQL skills

Data visualization (Tableau, Power BI)

Analytical problem-solving

Communication skills

Education

Bachelor's degree in Data Science or related field

Tools

Python

R

Job description

We are seeking a data-driven professional who thrives on transforming complex datasets into meaningful business insights. This role will partner with stakeholders across multiple functions to identify opportunities, improve decision-making, and support strategic initiatives through analytics, reporting, and predictive modeling.

The ideal candidate combines strong technical expertise with business acumen and enjoys solving challenging problems in a collaborative environment.

What You'll Do

Analytics & Insights

• Analyze large, complex datasets to uncover trends, patterns, and opportunities for business improvement.
• Develop actionable recommendations that support operational and strategic decision-making.
• Conduct exploratory data analysis and present findings to stakeholders across the organization.
• Build and maintain dashboards, scorecards, and reporting solutions that provide visibility into key performance indicators.
• Create compelling visualizations and presentations that communicate insights to both technical and non-technical audiences.
• Automate recurring reporting processes to improve efficiency and accuracy.

Predictive Analytics

• Develop, test, and maintain statistical and predictive models to support forecasting and business planning initiatives.
• Evaluate model performance and implement improvements based on changing business needs and data availability.
• Apply experimentation methodologies and analytical frameworks to measure outcomes and inform decision-making.

Cross-Functional Partnership

• Collaborate with leaders, product teams, engineering teams, and operational stakeholders to define business questions and analytical approaches.
• Translate business objectives into measurable metrics and data solutions.
• Support strategic initiatives through data-backed recommendations.

Data Quality & Process Optimization

• Identify opportunities to improve data accuracy, accessibility, and governance practices.
• Partner with technical teams to enhance data pipelines, reporting infrastructure, and analytical workflows.
• Promote best practices related to data management and responsible data usage.

Qualifications

Required

• Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• 3–5 years of experience in analytics, business intelligence, data science, or a related field.
• Advanced SQL skills and experience working with large relational databases.
• Experience using business intelligence and visualization platforms such as Tableau, Power BI, Looker, or similar tools.
• Strong analytical and problem-solving abilities with a demonstrated track record of delivering business impact.

Preferred

• Experience using Python, R, or similar analytical programming languages.
• Knowledge of statistical modeling, forecasting, experimentation, and causal analysis techniques.
• Experience working with data warehousing and cloud-based analytics environments.

What Makes You Successful

• Strong communication skills with the ability to explain technical concepts to diverse audiences.
• Ability to manage multiple priorities and projects in a fast-paced environment.
• Curiosity, initiative, and a passion for using data to solve business challenges.
• Strong attention to detail and commitment to data accuracy.
• Collaborative mindset and ability to influence decision-making through insights and analysis.

We offer competitive compensation, comprehensive benefits, and opportunities for professional growth for qualified candidates.