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Data Analyst

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: Intellyk Inc
Full Time position
Listed on 2026-08-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Scientist, Data Warehousing
Salary/Wage Range or Industry Benchmark: 65000 - 95000 USD Yearly USD 65000.00 95000.00 YEAR
Job Description & How to Apply Below

Data Analyst

We at Intellyk are seeking a Data Analyst who can bridge advanced analytics with scalable application design. This role requires a unique blend of data expertise, programming skills, and business acumen. You will work closely with product, operations, and technology teams to deliver actionable insights, build robust analytical models, and design solutions that drive strategic decision-making. If you are passionate about data, enjoy solving complex problems, and thrive in collaborative environments, we’d love to hear from you.

Key Responsibilities
  • Perform data analysis and build machine learning models
  • Work with product and business teams to understand data needs, provide in-depth analysis support and share associated business insights
  • Design and deliver automated Business Intelligence/reporting solutions.
  • Extract data, build, manage and maintain complex analytical models to help drive decisions in Supply Chain/Operations organization.
  • Perform regular ad-hoc data querying and analysis to better understand customer behaviors including acquisition, engagement, conversion and retention
  • Gather, synthesize and interpret disparate quantitative information sources, develop meaningful insights and clearly disseminating to key stakeholders
  • Create and update regular reporting based on a variety of data sources
  • Understand, monitor, QA, translate, collaborate with business stakeholders to ensure on-going data quality
  • Draw flowchart to indicate the input data sets used for sorting and merging techniques to get the required output.
  • Work to help the research team accurately and appropriately capture and record data for scientific study and validation.
  • Prepare technical reports, user manual and operations manuals as required by the user, organize, coordinate and conduct meeting and seminar on various issues pertaining to automation.
  • Perform root cause analysis on complex data anomalies and working closely data stewards to define best practice
  • Facilitate review sessions with management, business users and other team members.
  • Collaborate with thedatateams, ensuring thatdatainfrastructure supports the needs of our analytics team and validatingdataquality.
  • Directly interacts with more senior level internal and external stakeholders (i.e. Sr. Managers, Directors, etc.)
  • Act as a subject matter expert in one or more designated data domains
  • Play a lead role in Data Governance Domain Work groups as domain SME
  • Partners with BSG and business to define & document data related requirements, and settle deliverables and deadlines, utilizing negotiation and creativity independently.
  • Own the collaboration process between the business and tech teams to finalize requirements gathering within an agreed timeframe.
  • Submit final requirements (or initial stories) for development work to begin.
  • Responsible for drafting the UAT plan and capturing input from users, and provide engineers with consolidated change requirements.
  • Facilitate scope change discussions and provide recommendations to Project Owners.
  • Accountable for validating that business requirements are met through the project's delivery cycle.
  • Python or R programming, focusing primarily on the statistical analysis.
Additional Skills

Strong expertise in data cleaning, transformation, and validation to ensure accuracy and consistency across datasets.

  • Proven ability to design and deliver MIS (Management Information System) reports that support business decision-making.
  • Hands-on experience in dashboard development using tools such as Tableau, Power BI, or similar BI platforms.
  • Skilled in data visualization and storytelling
    , presenting complex findings in clear, actionable formats for stakeholders.
  • Ability to work with large, diverse datasets and apply statistical techniques to uncover trends and insights.
  • Familiarity with ETL processes and data pipeline management to support reporting and analytics needs.
  • Strong problem-solving abilities and collaborative teamwork skills, with a focus on continuous improvement of reporting and analytics processes.
  • Awareness of emerging data analytics trends and tools
    , with the ability to adapt and apply them effectively
Technical & Professional Requirements
  • Bachelor’s…
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