Job Details

Senior Data Analytics Engineer

Company

Dahl Consulting

Published

2019-12-01

Closes

2020-01-30

Location

Hartford, Connecticut, United States

Category

Information Technology

Type

Full-time

Description

Title: Senior Data Analytics Engineer
Location: Hartford CT

Description:

Job Summary - THIS IS TO BE BASED IN HARTFORD IDEALLY - ONSITE - No Remote work option for this role.

The Enterprise Business Intelligence & Analytics (EBIA) Artificial Intelligence team consists of highly motivated and skilled professionals who are leading analytics journey and driving business value that creates a sustainable competitive advantage for our company.

The Sr. Consultant, Data Analytics Engineer performs data acquisition, preparation, and performs analysis leveraging a variety of data programming techniques. Supports the implementation of highly complex project(s) that support the business. Helps establish procedures for attaining specific goals and objectives in a broad area of work. Tasks include the building and support of data pipelines to integrate data of various types and complexity (structured/unstructured, audio, imagery, etc.), cleansing and rational organization of data into data sets to support experimental AI work and model development.

Primary Job Duties & Responsibilities
• Independently review, prepare, design and integrate moderately complex (type, quality, volume) data, correcting problems and recommend data cleansing/quality solutions to issues. • Apply moderate data derivations and assist with complex business transformation rules and data requirements. • Assist investigation and resolution efforts for high impact data defects and problems, • Perform analysis of moderately complex (type, quality, volume) sources to determine value and use. Recommend data to include in analytical projects. • Create simple (technology and features) data visualization techniques to help support data exploration. • Operationalize and automate moderately complex (more systems, data sets and streams, size of data sets more substantial) data products independently. • Build, test, and implement moderately complex analytic business processes, including pilots and proof of concepts. • Apply knowledge of current industry trends and techniques to formulate solutions within the context of assigned projects and/or enhancements. • May present complex information to next level of management. • Work within standards, processes, and protocols. • Incorporate core data management competencies - data governance, data security, data quality. • Share knowledge and Independently train business users on data products/analytic environment when necessary
Minimum Qualifications
• 3 years of relevant experience with data tools, techniques, and manipulation required.
Education, Work Experience & Knowledge

Education:
• College Degree in STEM related field
Technical Knowledge:
• Intermediate knowledge of data tools, techniques, and manipulation preferred. Examples (but not limited to): • Big data and Cloud platforms • Programming languages - Python, Hive, AWS, Spark, SQL, Bash • Scheduling Software: AutoSys • Visualization platforms: QlikView

Experience:
• 4 years of relevant experience with data tools, techniques, and manipulation preferred.
Job Specific & Technical Skills & Competencies

Communication Skills:
• Ability to communicate thoughts/designs/ideas in an unambiguous manner and adjusts communication based on audience. • Exhibits active and effective communication skills with team members - including active listening and effective written and verbal communication skills. • Effectively contributes and communicates with the immediate team.
Problem Solving & Decision Making:
• Able to recognize and analyze business and data issues of intermediate complexity with minimal supervision. • Able to recognize when escalation is necessary. • Able to leverage previous experience to consider a variety of alternatives to arrive at a timely, practical, and cost-effective solution to resolve defects or incidents.
Relationship Management:
• Ability to foster relationships with peers to achieve objectives. • Practices objectivity and openness to others' views. • Able to recognize and support team priorities. • Works with other technical areas to achieve project/department or division goals.
Planning and Project Management:
• Able to manage time and competing priorities and provide management with accurate and timely status information. • Able to accurately evaluate and estimate tasks.
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