Data Analyst II (Analytics Focus)

Shoptalk; Phoenix (AZ); Hybrid; USD 85,000 - 115,000; Full time

Benefits offered by this job

Competitive salary and stock options

Medical, dental, vision insurance

Flexible PTO

Professional growth opportunities

Paid parental leave

Health & wellness initiatives

Job summary

Shoptalk, based in Phoenix, seeks a Data Analyst II to join our Operations Analytics team. You will blend quantitative and qualitative skills to boost operational decision-making through analysis, visualization, and predictive insights.

You will tackle capacity planning, workload forecasting, and call center analytics, translating data into actionable business recommendations for leaders. This role is hybrid with on-site days Tue-Thu.

Qualifications

• 3+ years proven experience in data analysis and visualization
• Advanced knowledge of SQL and data query/mining techniques
• Experience with Tableau or PowerBI and Python for statistics
• Ability to translate complex analysis into clear narratives for non-technical stakeholders
• Experience with data modeling concepts and data wrangling

Responsibilities

• Consult with operations leaders to identify problems and opportunities using data
• Analyze large data sets to identify patterns and insights for business questions
• Build data models and run analyses to inform decisions
• Apply forecasting and statistical methods to quantify impact of decisions
• Translate findings into actionable recommendations with clear visuals and storytelling
• Manage multiple analytics projects with attention to detail and deadlines
• Define KPIs and analytical frameworks for dashboards and decision support

Skills

Data analysis

Visualization

Storytelling

Communication

Problem solving

Education

Bachelor's degree in quantitative field

Tools

SQL

Tableau

PowerBI

Python

Job description

About the Role:

Are you a data-savvy professional with an analytical mindset who thrives on exploring data and extracting insights? Do you have an aptitude for visualizing those insights and presenting them in ways that improve operational decision-making? Are you attracted to an entrepreneurial culture and energized by high growth? If so, read on.

We are seeking a Data Analyst II to join our growing Operations Analytics team.This key role will leverage both quantitative and qualitative skills to increase the organizational value of the Phoenix Service Center by influencing insight-driven decision making (Analysis), ensuring improved performance measurement (Visualization) and identifying solutions to help optimize operations (Prediction).

You will work in areas like capacity planning, workload forecasting, workforce analytics, business impact analytics, call center analytics and customer experience analytics. To be successful in this role you must be detail-oriented, creative, innovative, consultative, willing to learn and grow and enjoy a fast-paced, challenging environment. You will benefit from having a talent for “telling the story” with data, keeping the user experience in mind, as well as exposure to data/statistical modeling, relational database utilization and data wrangling techniques.

This is a hybrid position based in our Phoenix office, with an expectation of working on-site three days per week Tuesday-Thursday.

What You'll Do:

• Consult with internal operations leaders to identify problems or opportunities that can leverage data and analytics, building trusted stakeholder relationships and bringing curiosity to uncover the real business problem worth solving
• Collect, analyze and interpret large data sets from various sources to answer high-impact business questions and identify patterns, trends, and insights
• Perform in-depth analyses and then create data models to identify trends and key drivers that inform important decisions across the business
• Apply statistical, simulation, and forecasting methods, including hypothesis testing, regression, A/B testing, Monte Carlo simulation, and time series forecasting, to quantify the impact of operational and business decisions and anticipate future outcomes
• Translate analytical findings into clear recommendations, using visualizations and presentations to communicate insights and drive stakeholder decisions
• Use data storytelling techniques to simplify complex findings into narratives that resonate with non-technical stakeholders and drive action
• Manage multiple analytics projects with accuracy and attention to detail, prioritizing tasks to meet deadlines
• Translate ambiguous business questions into structured, testable analytical approaches that meet stakeholder requirements and support broader use‑case goals
• Drive best practices to improve the quality and effectiveness of our analytics function across capacity planning, workforce analytics, and customer/call center analytics
• Partner with operations leaders to define business KPIs and analytical frameworks that inform dashboards and simplify decision making
• Stay up‑to‑date with industry trends and emerging technologies, and seek out opportunities to develop new skills

What We Look For:

• Bachelor's degree in data analytics, mathematics, statistics, computer science, economics or a related quantitative field, or equivalent experience
• Minimum 3+ years proven experience in data analysis and visualization, including business requirements gathering
• Advanced knowledge of SQL and data query/mining techniques
• Working knowledge of data modeling and database concepts, with the ability to structure and query data effectively for analysis
• Experience applying statistical techniques and simulations to business problems, such as regression, hypothesis testing, A/B testing, Monte Carlo simulation, or time series forecasting
• Strong storytelling and data communication skills, with the ability to translate complex quantitative analysis into simple, compelling narratives for non-technical audiences
• Strong proficiency with Tableau or related data visualization tools (PowerBI, Superset, etc.)
• Strong problem‑solving, analytical, and communication skills, including active listening and presentation
• Proficiency in Excel or Google Sheets for ad hoc analysis
• Experience in financial services is preferred
• Proficiency in Python (pandas, statsmodels, or scikit‑learn) for statistical analysis preferred
• Experience with Contact Center Analytics and A/B testing/experimentation frameworks is a plus

What We Offer You:

• Competitive salary ($85K-$115K USD) and stock option plan
• Paid coverage of medical, dental and vision insurance
• Flexible PTO
• Opportunities for professional growth and development
• Paid parental leave
• Health & wellness initiatives