Technology Analyst 2

Asurion•Sterling, VA

13d

About The Position

Asurion is a leader in the technology protection industry around the globe. The company provides premier support solutions to enable optimum use of technology; digital applications to protect privacy and provide security; and rapid replacement of lost, stolen, damaged, or malfunctioning devices. Asurion partners with the leading wireless companies, retailers, and service providers enabling them to focus on their businesses and to provide services that delight their customers. We’re a strong team of outcome-focused technology professionals. We’re always looking for new ways to create value from one of Asurion’s most extensive assets – its data. We’re using cutting edge technology combined with great methodologies to enable teams across Asurion to contribute and consume data through a variety of patterns with minimal friction. In the Technical Data Analyst 2 role you will be working in the Enterprise Data Services Org at Asurion and will be responsible for bringing data and analytics products and capabilities to life. You will work collaboratively with internal stakeholders to understand their data needs and capability gaps, translate those needs into technical requirements for the engineers and deliver those as data products for your customers. This role is ideal for someone who is passionate about driving enterprise-wide transformative work in a highly collaborative environment. A problem solver who excels at working with partners from diverse domains to solve complex use cases with data and technology

Requirements

Strong proficiency in SQL, , encompassing joins, stored procedures, query optimization, performance tuning, and execution plans.
Excellent analytical, problem-solving, and critical thinking skills with attention to detail and a commitment to data accuracy.
Good grasp of fundamental Big Data concepts and technologies like Hive, Presto, Apache Spark, and familiarity with AWS cloud infrastructure.
Possess knowledge of data visualization tools such as Power BI, SSRS, or similar platforms for crafting insightful reports and dashboards.
Experience in Agile methodologies and proficiency in project management tools like Jira for task prioritization and management related to data product development.
Display a keen interest in staying abreast of the latest advancements in data analytics, data engineering, and relevant technologies.
Active listener, exhibits exceptional communication and interpersonal abilities to engage effectively with stakeholders across various levels.
Effective problem solver; works through ambiguity; provides options
Manages time; self-directed; provides guidance to more junior team members
Manages relationships with key stakeholders and ensure effective teamwork across team
Exhibit strong adaptability to shifting priorities and the capacity to adeptly manage multiple tasks and projects simultaneously, maintaining a high level of precision and attention to detail.
Possess 2+ years of experience as a data analyst/product owner within a modern data platform environment.
Hold a bachelor’s degree in computer science, Information Systems, Statistics, Mathematics, or a related field.

Nice To Haves

Knowledge of Python/PySpark is a plus
Knowledge of data modeling techniques (dimensional modeling, ER modeling), data warehousing concepts, and ETL/ELT processes a plus
Knowledge of data privacy regulations, coupled with experience in implementing data security and governance best practices, is a plus.
Prepare and maintain technical documentation such as source to target mappings to support transparency and knowledge sharing across teams.

Responsibilities

Develop a profound understanding of customer needs and translate them into precise data product requirements.
Collaborate closely with cross-functional teams to construct the product roadmap and backlog, establish priorities, and make informed tradeoff decisions.
Engage in technical dialogues with engineers to conceptualize product solutions, drive value, and influence the direction of both data products and the business.
Support end-to-end delivery of features, from intake and grooming through development and implementation, providing ongoing visibility into progress and confirming that requirements and expectations are fully met.
Work with a diverse range of customers in the Enterprise Data Product domain, aiding them in shaping their requirements and achieving desired outcomes.
Conduct thorough exploratory data analyses to unearth trends, patterns, and anomalies
Cultivate a robust understanding of Enterprise Data Platform frameworks and tools to guide customers towards fitting solutions.
Collaborate with business users to establish acceptance criteria and validation scripts for varying levels of data quality checks.
Address impromptu data requests promptly and deliver precise and timely analyses.

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