Indotronix International Corporation

Onshore - Business Analyst (Non-IT): Lead

US-AnywhereRemote in Oregon, US
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data analytics and data science
  • Proficient in Python, SAS, and SQL
  • Hands-on experience with Snowflake and Tableau
  • Demonstrated analytical skills using various statistical methods
  • Experience managing complex data analytics projects

Responsibilities

  • Utilize Python, SAS, and SQL for detailed data analysis and modeling
  • Conduct ad-hoc analytics for insightful business decisions
  • Apply advanced statistical modeling techniques to business cases
  • Oversee complex analytics projects involving large datasets
  • Document current and desired business states for process improvements
  • Communicate analytical findings to both technical and executive audiences

Benefits

  • Flexible remote work opportunity
  • Engagement with impactful non-IT business challenges
  • Opportunity to lead complex and high-visibility analytics projects
  • Collaboration with diverse teams across the organization
  • Access to advanced data analytics tools and technologies
Full Job Description
Onshore - Business Analyst (Non-IT): Lead | Remote, Oregon, United States Onshore - Business Analyst (Non-IT): Lead Location: San Antonio, Texas (Remote) Role Overview We are seeking a skilled contractor with expertise in data analytics and data science. This role involves analyzing non-IT business problems, articulating requirements for process improvement, and developing frameworks for assessing financial payback. The position requires identifying alternative solutions, preparing documentation of current and desired states, and building a common understanding between process owners and solution developers. Key Responsibilities • Utilize Python, SAS, and SQL for data analysis and modeling, with hands-on work in Snowflake and Tableau. • Perform ad-hoc analytics using descriptive, diagnostic, and inferential statistics to derive insights. • Apply supervised (e.g., regression, decision trees) and unsupervised (e.g., clustering) modeling techniques. • Manage complex analytics projects while working with large and potentially incomplete datasets. • Analyze business problems and articulate requirements to support process improvement opportunities. • Develop documentation for current and desired states to facilitate solution development. • Articulate complex analytical findings to both technical and executive audiences. Required Qualifications Technical Skills: Proficiency in Python, SAS, and SQL. Hands-on experience with Snowflake and Tableau. Analytical Skills: Proven ability in quantitative analysis and performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Project & Data Management: Experience owning complex analytics projects and working with large datasets. Preferred Qualifications • Experience or exposure to AI/ML, including supervised and unsupervised modeling techniques. • Familiarity with VS Code, GitHub Copilot, and Agentic AI. • Full-time employment experience in large banks or fintech companies. • Credit industry experience. Required Skills : List the top three skills in order of importance and number of years of experience for each skill. seeking highly skilled third-party (3P) contractors with strong expertise in data analytics and data science. Successful candidates will possess the following key qualifications: Technical Skills: Proficiency in Python, SAS, SQL, with hands-on experience in Snowflake and Tableau. Familiarity with VS Code, GitHub Copilot, and Agentic AI is a plus. Analytical & Statistical Acumen: Proven ability in critical thinking, quantitative analysis, and performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. AI/ML Experience: Experience or Exposure with supervised (e.g., regression, decision trees) and unsupervised (e.g., clustering) modeling techniques. Project & Data Management: Demonstrated experience owning complex analytics projects, comfortable working with large and potentially messy datasets. Communication: Ability to clearly articulate complex findings to diverse audiences (technical and executive). Professional Attributes: Initiative, strong work ethic, problem-solving skills, and a customer-centric focus. Basic Qualification : Additional Skills : Background Check : Yes Drug Screen : Yes Notes : Selling points for candidate : Project Verification Info :"The information provided below is for Client Systems AV use only and is not to be distributed publicly, or to any third party. Any distribution of the below information will result in corrective action from Client Systems Vendor Management. MSA: Blanket Approval Received Client Letter: Will Provide" Exclusive to Client :No Face to face interview required :No Candidate must be local :No Candidate must be authorized to work without sponsorship ::No Interview times set : :No Type of project : Master Job Title : Branch Code :

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