Data Analyst/Tableau Developer - Irving, United States - Axelon

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    Description
    Global Financial Firm located in
    Irving, TX or Tampa, FL has an immediate contract opportunity for an experienced
    Data Analyst/Tableau Developer
    "This role is currently on a Hybrid Schedule.

    You will need to have reliable internet, computer and android or iphone for remote access into the client systems during remote work.

    We will be expected in the office weekly 2-3 days depending on the team requirement.


    Video/ f2f interviews are required prior to all offers.

    Tableau Developer / Data Analyst with AI Exposure
    ***The main focus here being


    • Apply AI and machine learning techniques (through collaboration with AI/Client team) to enhance data analysis and insights within Tableau dashboards" and
    • Techniques to extract and transform data from various sources such as MS Excel, SharePoint lists, MS SQL, Oracle, Service Now, Cognos, Abinitio console, Autosys console.
    • Develop in Tableau to architect various complex visualization based reporting dashboards and integrate into Java applications.
    • Collaborate with engineering/architecture practice team to innovate, develop and deploy Tableau/Java solutions.

    Data Analyst

    The GPA Data Analyst/Tableau Developer role will contribute to the development of new data analytic techniques, report generation and the improvement of processes and workflow for the area or function.

    Understands and integrates subject matter and industry expertise within a defined area.

    Must be able to quickly grasp how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business.

    Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information.

    Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources.


    Responsibilities:

    • Apply AI and machine learning techniques (through collaboration with AI/Client team) to enhance data analysis and insights within Tableau dashboards.
    • Integrate AI models to provide predictive and prescriptive analytics.
    • Collaborate with Data Scientists to deploy AI models into Tableau dashboards.
    • Work across functional teams to define and develop analytics and reporting requirements.
    • Identify data sources that will help meet the analytic & reporting goals.
    • Simplify and enhanced data by developing data transformation queries which normalize, combine, and standardize various data sets.
    • Create data models that build relationships between various data sets.
    • Define key metrics that measure strategic goals, provide strategic insights, interpret performance trends, and support data-based performance improvements.
    • Develop data analytics expressions to produce key analytic metrics which will be used in data visualization.
    • Create standard and custom visualizations while ensuring data validity, statistical integrity, and maximizing impact.
    • Create dashboards using data expressions & visualizations which are aligned to strategic goals and operational initiatives.
    • Develop and implement a robust reporting suite enabling management to make objective, data-driven business decisions.
    • Develop and design presentations to convey complex information in clear graphics to tell the story through clean, concise, and well-organized dashboards.
    • Distill information provided by subject matter experts and other teams into executive-level presentations and strategic insights.
    • Revise and edit reports, presentation materials, procedures, and other documents.
    • Provide agenda, meeting attendance, key meeting decisions and next steps/follow-ups for stakeholder meetings.
    • Organize follow-ups and key actions for traceability and impact.

    Qualifications:

    Education Required


    • Bachelor's degree in Management Information Systems, Data Analytics, Data Science, Information Design, Computer Science, or a related field
    • Any experience with Integrating AI models to provide predictive and prescriptive analytics is highly preferred.
    • Ability to define and implement data querying expressions and techniques using Tableau, MS Excel Power Query, MS Excel Power Pivot, Power BI.
    • Techniques to extract and transform data from various sources such as MS Excel, SharePoint lists, MS SQL, Oracle, Service Now, Cognos, Abinitio console, Autosys console.
    • Ability to organize and relate significant amounts of raw data (with attention to detail & accuracy) into data models.
    • Ability to write data analytic expressions using formula languages.
    • Experience in visual information design and interactive visualization development
    • Working to advanced knowledge in presentation frameworks such as MS PowerPoint
    • Analytical skills that allow for the development of data-driven reports
    • Excellent organizational, analytical, decision-making, and problem-solving skills
    • Experience in visual information design and interactive visualization development
    with expertise in representing complex information in an actionable and high impact way.


    • Strong communication and good soft skills are required.
    • Strong communications and presentation skills applicable to developing executive presentations, succinct storytelling, and ability to make the complex simple.
    • Must be able to connect solutions to problem areas.
    • Ability to rapidly iterate though conceptual ideas or designs.
    • Strong analytical, problem solving and planning skills.
    • Ability to prioritize tasks and manage multiple simultaneous requests.
    • Self-starter with strong organizational and listening skills.
    • Proficient in grasping complex technical concepts and articulate them to different audiences.
    • Ability to work in a collaborative environment.