Data and Business Intelligence Engineer

tting-edge and forward focused team presents the opportunity for collaboration, self-organization within the Scrum Team and visibility as we focus on continuous Business data delivery.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

What's in it for you?

• Experience deeper understanding of Data analytics, Emerging technologies and Development practices

• Collaboration with a high-performing, forward-focused team, Product Owner(s) and Business stakeholders engagement

• Opportunity to expand your communication, analytical, interpersonal, and organization capabilities

• Experience working in a fast-paced environment - driving business outcomes in Agile ways of working

• Enable and influence the timely and successful delivery of business data capabilities and/or technology objectives

• Enhance your entrepreneurial mindset - network opportunity and influencing outcomes

• Hone your development skills using various tools such as Snowflake, Informatica, B2B, PL/SQL, Hadoop, etc. to build data assets that enable business value generation

• Appreciation and opportunity to learn and support rapid software construction and deployment using DevOps and Cloud based future technologies

• Supporting environment that fosters can-do attitude and opportunity for growth and advancement based on consistent demonstrative performance

• Optimize business value by leveraging your DATA experience and depth

• Be part of a Scrum Team - driving work independently or collaboratively towards achieving business outcomes

• Act as a resource for colleagues with less experience

Qualifications

• Must be authorized to work in the U.S. without company sponsorship.

• Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Business Analytics or a related field.

• At least 2 years' experience in data engineering, big data, analytics and operations concepts: SQL, ETL, performance tuning, production engineering, job scheduling, continuous deployment and operations support

• Experience with ETL tools like Informatica / Informatica Cloud

• Minimal knowledge on programming languages such as Python, Java, Spark; version control tools like GitHub.

• Design, develop, and maintain interactive dashboards and reports using Tableau, ThoughtSpot, and MSBI tools (SSRS, SSIS, SSAS).

• Collaborate with cross-functional teams to gather business requirements and translate them into technical specifications.

• Analyze large datasets to identify trends, patterns, and opportunities for business improvement.

• Strong analytical and problem-solving skills.

• Excellent communication skills and ability to present complex data in a clear, concise manner.

• Preferred experience with Cloud technologies such as AWS, Snowflake,

• Preferred experience in PL/SQL and use of databases such as Oracle and SQL Server;

• Experience in Agile development methodologies

• Experience with end-to-end Data Warehousing architecture and concepts and ETL best practices

• Delivery experience including full lifecycle from conception to successful implementation.

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$100,960 - $151,440

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

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