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Strong technical skills, including the ability to independently execute complex data analytics in at least one programming language (e.g., SQL, SAS, SPSS, Stata, R, etc. Berkeley Research Group, LLC (BRG) is a global consulting firm that helps leading organizations advance in three key areas: disputes and investigations, corporate finance, and strategy and operations.
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Strong technical programming skills; SQL, R, SAS, Python, Snowflake, Tableau/Looker, Demonstrated data visualization experience; Tableau/Looker, Power BI. The Actuarial & Strategic Finance team has exposure to all facets of the business and plays a critical role in shaping the future and strategy of the company through forecasting and analysis of key business drivers.
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Must have the following skill set through education of work experience: business strategy development; quantitative and qualitative analysis; Python, SQL, or R; relational databases; statistical modeling; regression analysis; and presentation of complex economic concepts and research results to non-specialist audience.
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Quality Assurance (QA), Test and Evaluation (T&E), privacy requirements, cybersecurity, assessment of opportunities to incorporate Artificial Intelligence ("AI") and/or Machine Learning ("ML") into ODRR Test and Evaluation which may include, Predictive Analytics, Natural Language Processing (NLP) and Large Language Models (LLM), Generative AI, Training models, navigating access, compliance, privacy, and security concerns across all applicable platforms, data types, and use cases.
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High level of proficiency in Python, DataBricks, SQL, Spark, and other Data Engineering and DataScience tools. Desired Qualifications:- TS/SCI clearance is required- Minimum of 3 years of experience as a military Data Subject Matter Expert or related role, withdemonstrated experience with digital strategy, IT project management, enterprise architecture,SDLC (Software Development Life Cycle), or transformation.
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A minimum of 3 to 5 years of PL/SQL development experience, data migration strategy development and execution, and data cleansing. The successful candidate will perform PL/SQL software development in support of Oracle’s Hyperion Financial Management/EPM software solution, and associated business intelligence solutions using Oracle’s OBIEE data warehouse.
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CORE WORK ACTIVITIES Demonstrating and Applying Discipline Knowledge Manage data product development using Snowflake SQL and/or Spark including: Facilitate data integration & exchanges with Digital and Marketing Operations Contribute to data strategy, data management, and enhanced data products for use by the Digital discipline.
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Skilled in data querying and programming with SQL and Python, working experience with automating data processing tasks with Python or Excel VBA. Proficient working experience in data collection (e.g., API, web scraping), data processing, data modeling, data integration (e.g., end-to-end ETL pipelines), and database / data warehouse management (e.g., with Databricks / Snowflake.
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Assist in data strategy and governance, data quality, and data architecture and modeling projects. Ability to source and manipulate data from cloud-based infrastructures (e.g., AWS, Azure, GCP, Snowflake, Data Bricks.
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In-depth understanding of data warehousing concepts, cloud platforms (AWS, Azure, GCP), and data modeling techniques•Strong knowledge of SQL and NoSQL databases, as well as data integration and transformation tools•Demonstrated experience in architecture, design and development of scalable distributed event driven data products.
$190,000 - $304,000 a yearExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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About the RoleYou will build our data platform and related analytical tools using Ruby on Rails, GoLang, and SQL. Work with DataOps team members and DevOps to identify and implement data strategy.
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Align with the solution architect and SMEs on the data mapping, load, design strategy and plan. Come up with repeatable source to target data reconciliation strategy and plan.
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Demonstrated skill of formulating best practice recommendations for database operations, including backup strategy, data security and cloud platform. Familiarity with AWS Cloud products (EC2, EBS, S3, Lambda, Aurora, Dynamo DB, EMR, DMS data migration, Athena, Glue, Kinesis, SQS/SNS, etc.
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Directly lead and manage teams focused on delivering high quality project results within one or more major technology disciplines: strategy, data management, cloud optimization, operations, engineering, information security, privacy, compliance, change management and stakeholder relationships.
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Must have good implementation experience on various GCP’s Data Storage and Processing services such as BigQuery, Dataflow, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL.
$103,000 - $145,000 a yearExpandApply NowActive JobUpdated 14 days ago
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