Data Engineer - Data Analyst (SQL)

Job Number: 24-01998

Grab the opportunity to achieve your full potential! Eclaro is looking for a Data Engineer - Data Analyst (SQL) for our client in Atlanta, GA.

Eclaro’s client is one of the world's largest financial institutions, committed to providing the tools and services that bridge the gap between customers and their goals. If you’re up to the challenge, then take a chance at this rewarding opportunity!

Position Overview:

• Responsible for developing and delivering data solutions to accomplish technology and business goals and initiatives.
• Key responsibilities include performing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems.
• Job expectations include working with stakeholders and Product and Software Engineering teams to aid with implementing data requirements, analyzing performance, and researching and troubleshooting data problems within system engineering domains.
• Provide support to audit teams via a number of advanced automation tools to develop new testing methodologies that provide coverage for high-risk areas.
• Will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science) to provide customized automated solutions across multiple business segments.
• Day-to-day activities will include data extraction from multiple sources, performing advanced data analytics, and building dashboards.

Responsibilities:

• Works across development teams to contribute to the story refinement and delivery of data requirements through the delivery life cycle.
• Leverages architecture components in solution development, codes solutions to integrate, clean, transform, and control data in operational and analytical data systems per acceptance criteria.
• Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management and defines and builds data pipelines and complex data sets to enable data-informed decision making.
• Develops and executes test plans to produce quantitative results, contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies test issues and errors, and triages underlying causes.
• Drives complex information technology projects to ensure on-time delivery and adheres to team delivery and release processes.
• Identifies, defines, and documents data engineering requirements, communicating required information for deployment, maintenance, support, and business functionality.
• Works with technology partners and a diverse set of stakeholders to identify and close gaps in data management standards adherence.
• Independently develop automated testing solutions using a variety of technologies (SQL, Alteryx, SAS, Python, Tableau, etc.).
• Responsible for multiple projects simultaneously.
• Utilizes sound, seasoned analytical skills and possesses product, business, and technical expertise to execute assigned responsibilities.
• Coordinates, schedules, scopes, and leads data automation activities on audits.
• Leads data analysis of control deficiencies to drive actionable business impact.
• Implements risk-based audit strategy.
• Identifies control trends through data analysis in assigned business areas.
• Coaches/trains team in execution of data automation activities to support the audit plan.
• Follow the lifecycle of our internal system for automation activities and ensure its data accuracy and completeness.
• Ensure timely delivery of automation activities as per the point-in-time audit and issue validation timelines.
• Managerial: May also have responsibilities for managing associates.
• Diversity & Inclusion Champion: Creates an inclusive team where members are treated fairly and respectfully.
• Manager of Process & Data: Demonstrates and expects process knowledge, data driven decisions, simplicity and continuous improvement.
• Enterprise Advocate & Communicator: Delivers clear and concise messages that motivate, convey the "why” and connects contributions to business results.
• Risk Manager: Leads and encourages the identification, escalation and resolution of potential risks.
• People Manager & Coach: Knows and develops team members through coaching and feedback.
• Financial Steward: Manages expenses and demonstrates an owner's mindset.
• Enterprise Talent Leader: Recruits, on-boards and develops talent, and supports talent mobility for career growth.
• Driver of Business Outcomes: Delivers results through effective team management, structure, and routines.

Required Skills:

• Analytical Thinking
• Application Development
• Data Management
• DevOps Practices
• Solution Design
• Agile Practices
• Collaboration
• Decision Making
• Risk Management
• Test Engineering
• Architecture
• Business Acumen
• Data Quality Management
• Financial Management
• Solution Delivery Process
• Must demonstrate strong attention to detail with excellent organization skills.
• Excellent Communication skills (verbal and written)

Required Experience:

• 3 years minimum experience in data extraction with ability to write SQL queries.
• 3 years of Data Analytics, Alteryx Core Certification, SQL Training, Database knowledge.
• Skilled in the use of data wrangling and visualization tools such as Alteryx and Tableau.
• Proven experience coordinating multiple projects/assignments simultaneously under minimal supervision and completing assigned tasks accurately and on a timely basis.

Qualifications:

• Advance SQL writing abilities.
• Knowledge of how to connect to data sources and extract and analyze data.
• Experience with Python is a plus.
• AI/Data Science Experience is a plus.
• Audit experience is a plus.

If interested, you may contact:

Chris Viemeister
332-209-4561

Equal Opportunity Employer: Eclaro values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.