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Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services • Designing and managing data warehouses and data lakes, verifying data is organized and accessible • Monitoring and troubleshooting data pipelines, data warehouses and workflows to verify data quality, system reliability, performance and cost management • Implementing IAM roles and policies to manage access and permissions within AWS, Azure, GCP • Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments • Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines • Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks • Improving Cloud resources for cost, performance, and scalability • Proficiency in SQL and experience with relational databases • Proficient in programming languages such as Python, Java, or Scala • Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus • Experience with machine learning and data science workflows is a plus • Knowledge of data governance and data security practices • Demonstrating analytical, problem-solving, and communication skills • Having the ability to work independently and as part of a team in a fast-paced environment • Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures • Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback • Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment • Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. • Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus • Designing and implementing thorough data architecture strategies that meet the current and future business needs • Developing and documenting data models, data flow diagrams, and data architecture guidelines • Verifying data architecture is compliant with data governance and data security policies • Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions • Evaluating and recommending new data technologies and tools to enhance data architecture • Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing • Building, maintaining, and improving Data Quality rules leveraging DQ tools and/or other ETL/ELT tools • Developing and deploying scalable data storage solutions using AWS, Azure and GCP services such as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.
Oklahoma City, OK1 day ago
You will develop and deliver post-campaign measurement reports, build and activate audience segments, support advertiser pitches with data-driven insights, and maintain the reporting infrastructure and cadences that keep clients informed and confident. You will work closely with the Product, Engineering, and Data leaders to execute against the measurement and data product strategy and partner with Go to Market and Client teams to translate client business questions into analytical frameworks.
ul>Define and lead Sedgwicks enterprise data science strategy aligned to claims optimization, risk management, fraud detection, and client performance analytics. Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience.
Oklahoma City, OK30+ days ago
p>You Are: The Accenture Life Insurance and Annuity Industry Data Product Lead will drive the development and delivery of the ALIP data analytics and insight solution-a cornerstone of our value proposition to ALIP clients. Our team of over 975 Life and Annuity industry professionals is helping some of the most recognized insurance brands drive growth with digital innovation, platform modernization, improved product distribution, and personalized customer experiences.
Oklahoma City, OK20 days ago
Through effective use of software tools and collaboration with internal stakeholders, the Research Analyst contributes to the achievement of the Oklahoma Health Care Authority's mission by ensuring program effectiveness, maintaining confidentiality, and supporting informed decision-making aligned with organizational goals. Guided by our core values, Passion for Purpose, Trust & Transparency, Empowerment & Accountability, Best-in-Class, Outcome-Driven, and Servant Leadership, we foster a workplace where people feel supported, respected, and empowered to make an impact.
p>This role involves collaborating with other engineering teams, financial analysts, and product owners, taking ownership of the team's work, and influencing the technical strategy and architecture of the platform.
p>5+ years of applicable work experience Proficiency in Python, specifically with ETL pipelines Strong proficiency in SQL and experience in developing complex queries Familiarity with pySpark, DBT, or other similar frameworks Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP) Understanding of data warehousing concepts, dimensional modeling, and building data marts Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
Oklahoma City, OK7 days ago
Our Culture:
Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City.
Welcome to Love's: The Senior Manager of Analytics & Data Science leads teams of analytics and data science professionals responsible for delivering enterprise-wide insights, advanced analytics, and scalable solutions that drive strategic decision-making across the organization.