Data Analyst - Data Analytics

October 1

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Softrams

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UX • Big Data • DevOps • Cyber Security • Data Science

201 - 500

Description

• Softrams is one of the fastest growing digital services firms in the Washington Metropolitan regions crafting human-centered solutions and empowering digital services with a focus on HX, AI, cloud, DevOps and cyber security. Our offices are located in Leesburg VA, Baltimore MD, and Plano TX, and our teams are spread across the U.S. • Recognized as a Top Workplace USA (2024) • Recognized as one of the Top Workplaces in Technology (2023, 2021) • INC 5000, Fastest growing companies in America (2023, 2022) • Washington Business Journal Top 75 Fastest Growing Companies in Greater Washington area • 2020 NXT UP - Top Federal Emerging Technology and consulting firms • 2020 Inaugural DC Metro’s Most Successful Companies • 2020 Washington Technology Fast 50 • NVTC Tech 100 (2020, 2019) • Softrams is seeking a Data Analyst with experience in digital analytics, web analytics and user experience. As a digital analyst, you will be responsible for analyzing and optimizing digital customer journeys to improve public web user experience on federal government sites. The application of advanced analytics is expected. The selected candidate will work with a project team in support of a federal client in the Baltimore-Washington metro area.

Requirements

• Ability to obtain a U.S. Federal Position of Trust clearance designation. • Must reside in and be able to perform work in the United States. • Must have lived in the United States for 3 of the last 5 years. • Bachelor’s degree in data science, statistics, mathematics, public health, economics, or related quantitative field. • 8+ years' experience in data analysis, software/application development, business system analysis, or program integrity investigations. • Knowledge and experience in healthcare, especially Medicare and Medicaid. • Advanced proficiency with analytical software including Adobe Customer Journey Analytics, Python and/or R, to manipulate and analyze data and to build analytical models. • In-depth knowledge of statistics and algorithms used in predictive modeling, machine learning, and text analytics their appropriate use. • Experience with data engineering using SQL queries, Spark, and/or python and to extract and transform large volumes of data into a format suitable for analysis. • Experience using cloud-based services and resources (e.g., AWS, Azure, Google cloud).

Benefits

• 65%-75% company-sponsored (including dependents) premiums towards medical, dental and vision insurance. For eligible plans and tiers, we provide 100% company-paid medical insurance. 100% employer sponsored STD, LTD and life insurance (min $100K). Voluntary life insurance option available. • Retirement 401(k) plan with employer matching. Immediate vesting. • Vacation and sick leave. • Maternity and parental leave. • Discretionary bonuses, spot awards, gifts, and tenure-based rewards. • Company-sponsored role-based training and certifications. • Monthly DoordashDashPass subscription. • Group discounts via LifeMart ADP.