{"id":1497940,"url":"https://alion.io/job/upgrade-data-analyst-ii-analytics-focus","title":"Data Analyst II (Ops Analytics Focus)","company":{"id":20596,"name":"Upgrade","domain":"upgrade.com","url":"https://alion.io/company/upgrade","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Phoenix, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":85000,"max":115000,"currency":"USD","period":"year","gross":null,"usd_annual":115000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Google Sheets","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Statsmodels","optional":false},{"name":"Superset","optional":false},{"name":"Tableau","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-09-29T22:51:20Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-06T21:55:42Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"About the Role:\n 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.\nWe 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)\nAs you build relationships across the operation, you will be instrumental in exploring and modeling data in order to identify new opportunities for efficiency and improvement, then visualizing critical insights to improve decision making. Partnering with the operational leaders to create and design/develop performance measurement KPIs and build out the associated dashboards will also be key to gaining momentum within this role. \nYou 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.\nThis is a hybrid position based in our Phoenix office, with an expectation of working on-site three days per week Tuesday-Thursday.\nWhat You'll Do:\n\nConsult 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\nCollect, analyze and interpret large data sets from various sources to answer high-impact business questions and identify patterns, trends, and insights\nPerform in-depth analyses and then create data models to identify trends and key drivers that inform important decisions across the business\nApply 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\nTranslate analytical findings into clear recommendations, using visualizations and presentations to communicate insights and drive stakeholder decisions\nUse data storytelling techniques to simplify complex findings into narratives that resonate with non-technical stakeholders and drive action\nManage multiple analytics projects with accuracy and attention to detail, prioritizing tasks to meet deadlines\nTranslate ambiguous business questions into structured, testable analytical approaches that meet stakeholder requirements and support broader use-case goals\nDrive best practices to improve the quality and effectiveness of our analytics function across capacity planning, workforce analytics, and customer/call center analytics\nPartner with operations leaders to define business KPIs and analytical frameworks that inform dashboards and simplify decision making\nStay up-to-date with industry trends and emerging technologies, and seek out opportunities to develop new skills\nWhat We Look For:\nBachelor's degree in data analytics, mathematics, statistics, computer science, economics or a related quantitative field, or equivalent experience\nMinimum 3+ years proven experience in data analysis and visualization, including business requirements gathering\nAdvanced knowledge of SQL and data query/mining techniques\nWorking knowledge of data modeling and database concepts, with the ability to structure and query data effectively for analysis\nExperience applying statistical techniques and simulations to business problems, such as regression, hypothesis testing, A/B testing, Monte Carlo simulation, or time series forecasting\nStrong storytelling and data communication skills, with the ability to translate complex quantitative analysis into simple, compelling narratives for non-technical audiences\nStrong proficiency with Tableau or related data visualization tools (PowerBI, Superset, etc.)\nStrong problem-solving, analytical, and communication skills, including active listening and presentation\nProficiency in Excel or Google Sheets for ad hoc analysis\nExperience in financial services is preferred\nProficiency in Python (pandas, statsmodels, or scikit-learn) for statistical analysis preferred\nExperience with Contact Center Analytics and A/B testing/experimentation frameworks is a plus\n\nWhat We Offer You: \n\nCompetitive salary ($85K-$115K USD) and stock option plan\nPaid coverage of medical, dental and vision insurance \nFlexible PTO\nOpportunities for professional growth and development \nPaid parental leave\nHealth & wellness 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