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Senior Data Warehouse Analyst

2 months ago

Tallahassee, United States Lifescale Analytics Full time

At Lifescale Analytics, we help achieve data driven decisions by leveraging strategic technologies to create innovative solutions, that ultimately help our clients to navigate their ever-changing data landscape. We have an opportunity for a Data Warehouse Analyst. This role will be an Onsite Role, candidates will be required to be onsite a minimum of 3 days a week in the office in Tallahassee, FL. Travel and relocation expenses will not be covered by the client or employer.


Applicants responding to this position must be a US Citizen and will be subject to a government security investigation and must meet eligibility requirements by currently possessing the ability to view classified government information. Must have lived in the US for the past 5 years.


The Employer will not sponsor applicants for any employment visas, at hiring or in the future, including but not limited to H-1B visas. Corp-to-Corp or subcontract personnel will not be considered for this position.


Scope of Services

  • Responsible for gathering and assessing business information needs and preparing system requirements.
  • Performs analyses, development, and evaluation of data mining in the Snowflake cloud data warehouse environment which includes data design, database architecture, and data management utilizing Informatica PowerCenter, Intelligent Data Quality, and Enterprise Data Catalog.
  • Uses data mining and data analysis tools including Power BI and Tableau. Reviews and validates data loaded into the data warehouse for accuracy.
  • Interacts with user community to produce reporting requirements.
  • Provides technical consulting to users of the various data stores and advises users on conflicts and inappropriate data usage.
  • Responsible for prototyping solutions, building solutions, preparing test scripts, and conducting tests for Snowflake data population including data replication, extraction, loading, cleansing, and transforming the data.
  • Responsible for enterprise data modeling.
  • Maintains knowledge of software tools, languages, scripts, and shells that effectively support the Snowflake cloud data warehouse environment.


Primary Job Duties/ Tasks

  • Strong Data Integration and Data Warehousing experience with Snowflake Data Cloud and Informatica IICS Cloud Data Integration tools.
  • Strong Experience with Data Integration tasks like extraction, transformation, and load (ETL or ELT) tasks
  • Participates in strategic planning for the Snowflake enterprise data warehouse/data-lake-house design and development.
  • Analyzes transactional data stores and develops data warehouse models to optimize the warehouse for reporting and analytics.
  • Coaches and mentors’ peers in data warehousing concepts and the tools utilized to analyze data, design the warehouse models, and populate the warehouse.
  • Prototypes, builds, and tests Power BI and Tableau reports and dashboards.
  • Assists with the development and maintenance of methods and practices documentation.


Job Specific Knowledge, Skills, and Abilities (KSAs)/Experience:

  • At least 7 years of IT experience utilizing data management, business intelligence tools, and strong foundation-building data warehousing solutions.
  • Extensive experience with Informatica IICS Cloud Data Integration tools and Snowflake is preferred.
  • Experience designing data models for Business Intelligence tools like Power BI and Tableau.
  • Experience with Informatica on-premises products like PowerCenter and Data Quality.
  • Experience with ELT with Change Data Capture solutions like PowerExchange.
  • Experience with IBM Mainframes COBOL, JCL, and DB2 analysis.
  • Experience with IICS Cloud Administration and Snowflake Data Cloud Administration.
  • Ensures data warehouse metadata is collected and maintained.
  • Experience with Informatica IICS Cloud Performance Tuning
  • Experience with Snowflake Data Cloud Performance Tuning
  • Experience with Data Governance products, like EDC, Axon, and CDGC


Education:

  • Bachelor’s Degree in Computer Science, Information Systems, or related field is required. Equivalent work experience may substitute for the degree requirement.


General Knowledge Skills and Abilities (KSAs):

The submitted candidate must be able to apply common knowledge, skills, and abilities in the following areas:

  1. Initiative: Must be able to comprehend assignments, organize workload, and meet deadlines with little direction. Must be able to monitor and analyze situations to determine the next step.
  2. Communication: Can clearly convey information, in both written and verbal formats, to individuals or groups in a wide variety of settings (i.e., project team meetings, management presentations, etc.). Must have the ability to effectively listen and process information provided by others.
  3. Customer Service: Works well with clients and customers (i.e., business office, public, or other agencies). Able to assess the needs of the customer, provide information or assistance to satisfy expectations or resolve a problem.
  4. Decision Making: Makes sound, well-informed, and objective decisions utilizing critical thinking skills and analysis.
  5. Flexibility: is open to change, new processes (or process improvement), and new information. Can adapt in response to new information, changing conditions, or unexpected obstacles. Ability to receive and give constructive criticism and maintain effective work relationships with others.
  6. Interpersonal: Shows friendliness, courtesy, understanding, and politeness to others
  7. Leadership: Motivates, encourages, and challenges others. Can adapt leadership styles in a variety of situations.
  8. Problem Solving: Able to identify, evaluate, and use sound judgement to generate and evaluate alternative actions, and make recommendations accordingly.
  9. Team Building: Encourages, inspires, and guides others toward accomplishing the common goal as an equal member of the team.
  10. Quality Assurance: Knowledge of the ideologies, techniques and tools for quality assurance and control. The ability to put the ideologies, techniques, and tools into practice.


Who we are:

Lifescale Analytics, a small business that provides specialized expertise in data and analytics. Formed in 2012, the Lifescale Analytics team has years of experience providing a spectrum of customized data management services and solutions including Data Management/Analytics, Big Data Solutions, Cloud Services, Business Intelligence and Data Science that focuses on building strong portfolios and programs. Through experience and innovation, we allow businesses, pharmaceutical companies, financial institutions, and government agencies to manage and proactively make decisions based on their biggest asset, their data. Our specialists are skilled at managing, refining, analyzing, or visualizing information for the specific purpose of increasing the value of IT to benefit from the data science industry.


For more information, please visit our website at www.lifescaleanalytics.com