Managed Services - Data Engineer - Senior Associate

The opportunity to leverage data and analytics to provide strategic insights and drive informed decision-making for clients. As part of the Data and Analytics practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Senior Associate, you will build meaningful client connections, manage and inspire others, navigate complex situations, and deepen your technical skills while delivering quality work.

Responsibilities

• Develop and implement innovative data solutions to optimize business performance and enhance competitive advantage.
• Leverage advanced analytics techniques to drive insights and support informed business decisions for clients (DB2, SQL Server).
• Build and maintain data pipelines and architectures to support data collection and analysis (DataStage, ETL).
• Utilize business intelligence tools such as Oracle Business Intelligence and QlikView to create insightful reports and dashboards (AWS, Redshift).
• Collaborate with stakeholders to identify data challenges and opportunities for continuous process improvement (GoldenGate, CDC).
• Apply analytical thinking and data science skills to interpret complex data sets and inform strategic recommendations.
• Engage in stakeholder management to foster meaningful client connections and anticipate their needs (managed services).
• Navigate complex situations to deliver quality work and contribute to personal and professional growth (Workload Scheduler).
• Uphold professional and technical standards in all client engagements and deliverables.

Requirements

• At least a Bachelor's degree.
• At least 2 years of experience.

Qualifications

• Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering.
• Proficiency in Python and Java programming languages.
• Experience with Business Intelligence tools like QlikView and Oracle BI.
• Experience developing data architecture and data pipeline solutions.
• Excellence in data visualization and interpretation techniques.
• Strong analytical thinking to solve complex data challenges.
• Ability to embrace change and demonstrate learning agility in dynamic environments.

Pay

The salary range for this position is $77,000 - $202,000. Actual compensation within the range will depend on skills, experience, qualifications, location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus.

Benefits

• Medical, dental, and vision coverage.
• 401k retirement plan.
• Holiday pay.
• Vacation time.
• Personal and family sick leave.
• Additional benefits available; view benefits at a glance for more information.