Responsibilities

include :

• Diligently working on assigned intake items associated to a data quality issue
• Build authentic relationships with business and IT partners
• Analyze large datasets or business processes and perform root cause analysis on reported data issues
• Identify process breakdowns, manual activities that could be automated, system integration concerns, training needs, and / or policy changes required, etc.

and clearly articulate the reason for the issue to have occurred

• Investigate alternatives to fix the identified issues by developing mitigation strategies
• Document rmendation to strategically fix the root cause. If technology work is required, help write business case to obtain funding for remediation
• Facilitate and oversee the implementation of those mitigation activities

Qualifications - External

Skillset needed :

1. Accurately interpret non-conformances appearing on data quality reports and investigate possible causes.

2. Perform statistical analysis using SQL, modeling, and other quantitative techniques in order to resolve business data issues and / or rmend courses of action to mitigate those issues.

3. Utilize strategies that reduce data issues with a bias for preventing recurrence, and increase the consistency / confidence of data used for decision making, improving knowledge firm-wide.

4. Participate in periodic reviews to ensure continuedpliance to both Enterprise and Wealth Management dataernance policies (includespliance assessments, monitoring and control testing) and standards.

5. Resolve conflicting priorities among data owners, data consumers, and custodians, especially across organizational lines.

6. Collaborate with partners across the Wealth Management business and outside (Corporate Functions and Technology Teams) in maintaining data quality controls ensuring we are meeting business needs while balancing quality, risk, and cost.

7. Work efficiently and respectfully with other team members to support Wealth Management applications, such as Operational Data Store, Product Catalog, and Data Warehouse.

Qualifications

• A College or University Degree in related disciplines (Finance, Accounting, Analytics, Economics, Mathematics, Statistics, etc.)
• 2-5 years of relevant work experience. Financial Services background is preferred.
• Knowledge of Dataernance and Data Management principles and best practices.
• Effective inmunicating the role of Data Management to both business and technicalmunities.
• Excellent oral and writtenmunication and presentation skills.
• In-depth functional knowledge (e.g. root cause analysis).
• Highly flexible and adaptable to change.
• Technical skills, e.g. SQL.

Additional Information Job ID 107299

Job Post has been updated successfully

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Job Description Other Service Line - Program Manager - PRGMGR Chicago, , Illinois - United States Posted - 06 / 28 / 23 Overview

Job Description : Max Vendor Rate $70

Remote

1.SQL scripting

2.Data analysis

3.Snowflake

1.Job title COGNIZANT IS LOOKING FOR DATA ANALYST - PROJECT MANAGER - BACKFILL ATTRITION 2.Job summary Strong Business stakeholder management - must Strong Data Analysis skill - must Strong SQL Scripting and Excel knowledge -must Intermediate - Insurance Domain knowledge - must Snowflake - strong from data analysis standpoint RDMS / Database Design basic - intermediate skill 3.

Experience 8to12Yrs 4.Required Skills ,Snowflake 5.Nice to have skills ,SQL Scripting,DB scripting 6.Technology -Not Applicable 7.

Shift Day 8.Roles & Responsibilities Execute data analysis activities, including data validation, data discovery, data issue investigations.

Contribute to business growth and planning initiatives as well as opportunity identification Establish core understanding of new data sets and aid stakeholders technical and non-technical in understanding these.

Discussing and communicating with client to clearly understand the requirements. Should be responsible for understanding business requirements, creating logical mapping documents out of them, preparing the data model, and translating that into data warehouse solutions.

Should be very prompt and analytical to find out BI shortcomings and work towards achieving the same. Should take care of ServiceNow tickets like Incident and Change.

Should take care of fixing DataStage production issues. Must be responsible for production deployment activities. Should work as a data analyst for translating the business requirements to valid mapping sheets and technical descriptions.

Leading the different cycles (requirements, development, and testing) of the BI solutions. Analyze the data from the policy administration databases and the workflow system to create data dictionaries.

Collaborate with technical architects, cross functional BAs, and team members to design BI solutions Analyze and estimate incoming business requirements.

Responsible for production deployment activities. Energetic, motivated and adaptable to changes. Fosters a collaborative culture with team members.

Excellent prioritization and time management skills. Able to work independently and in a team. 9.Job Location Primary : USILCIAC02 Chicago - IL USA, CLT Alternate : , 10.

Job Type 50CW00 Business Associate 11.Demand Requires Travel? N 12.Certification(s) Required NA

Additional Sills : Skills : Category Name Required Importance Experience No items to display.

Data Analyst Lead

Chicago IL Remote

1. SQL scripting

2. Data analysis

3. Snowflake

Job summary

Strong Business stakeholder management

must Strong Data Analysis skill - must Strong SQL Scripting and Excel knowledge -must Intermediate - Insurance Domain knowledge - must Snowflake

strong from data analysis standpoint RDMS / Database Design basic - intermediate Required Skills ,Snowflake 5.Nice to have skills ,SQL Scripting, DB scripting

Roles & Responsibilities

• Execute data analysis activities, including data validation, data discovery, data issue investigations.
• Contribute to business growth and planning initiatives as well as opportunity identification Establish core understanding of new data sets and aid stakeholders technical and non-technical in understanding these.
• Discussing and communicating with client to clearly understand the requirements. Should be responsible for understanding business requirements, creating logical mapping documents out of them, preparing the data model, and translating that into data warehouse solutions.

Should be very prompt and analytical to find out BI shortcomings and work towards achieving the same. Should take care of ServiceNow tickets like Incident and Change.

Should take care of fixing DataStage production issues.

• Must be responsible for production deployment activities. Should work as a data analyst for translating the business requirements to valid mapping sheets and technical descriptions.
• Leading the different cycles (requirements, development, and testing) of the BI solutions. Analyze the data from the policy administration databases and the workflow system to create data dictionaries.
• Collaborate with technical architects, cross functional Client, and team members to design BI solutions Analyze and estimate incoming business requirements.
• Responsible for production deployment activities. Energetic, motivated and adaptable to changes.
• Fosters a collaborative culture with team members. Excellent prioritization and time management skills.
• Able to work independently and in a team.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination.

All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role.

We promote and support a diverse workforce across all levels in the company.

Position is bonus eligible*

Prestigious Financial Company is currently seeking a Data Governance Analyst with IBM Information Server Suite 11.x experience.

Candidate will act as a liaison and translation layer between business and technical teams and operates at system- and detailed technical level for analysis purposes.

Work on new project requirements from initial requirements through full development life cycle and implementation.

Responsibilities

• Lead Data Domain and Data Steward Workgroup meetings
• Work closely with Data Domain Owners and SMEs to identify CDE s (Critical Data Elements) and define data elements for the Business Glossary
• Collaborate with Data Domain Owners to identify and define appropriate business rules
• Collaborate with the Metadata specialist to identify data sources
• Collaborate with data modelers to review definitions of business terms vs. technical terms
• Utilize data profiling and data quality tools to expose and determine causes of data quality issues when defining business rules
• Participate in metadata management utilizing IBM Metadata Asset Manager and the IBM Information Governance Catalog to build out the business glossary
• Implement data governance controls, procedures, and standards
• Develop and deliver presentations for department and senior leadership
• Perform other duties as assigned

Qualifications :

• 7+ years of experience with IBM Information Server Suite 11.x
• Proficient with SQL
• Proficient with Microsoft Office desktop tools (Word, Excel, etc.)
• Database experience a plus (ie Oracle, SQL Server, DB2)
• Java
• ETL tools (DataStage etc.)
• DAMA certification preferred
• Bachelors degree in Computer Science or related discipline
• Required 7+ years of experience in data governance disciplines : metadata management; data quality analysis; data quality remediation;

data profiling and data lineage

What we’re building and why we’re building it.

There’s a reason Fetch is ranked top 10 in Shopping in the App Store. Every day, millions of people earn Fetch Points buying brands they love.

From the grocery aisle to the drive-through, Fetch makes saving money fun. We’re more than just a build-first tech unicorn.

We’re a revolutionary shopping platform where brands and consumers come together for a loyalty-driving, points-exploding, money-saving party.

Join a fast-growing, founder-led technology company that’s still only in its early innings. Ranked one of America’s Best Startup Employers by Forbes two years in a row, Fetch is building a people-first culture rooted in trust and accountability.

How do we do it? By empowering employees to think big, challenge ideas, and find new ways to bring the fun to Fetch. So what are you waiting for?

Apply to join our rocketship today!

Fetch is an equal employment opportunity employer.

The Role :

The Data Analytics team embodies these values and works with a laser focused objective to enable data driven decision making for both internal stakeholders and external partners.

We are looking for a Data Analyst to contribute to this vision and reap the rewards of joining an exciting company in the high growth phase.

You will create analytical solutions that help Fetch teams leverage and monetize actionable insights from our unique data.

This is a challenging and high visibility position, responsible for creating these solutions as well as influencing technical direction.

Success in this role requires the ability to take on challenging problems and design & develop an amazing solution with little to no assistance.

You possess :

• Ability to create SQL / Python programming modules for custom insights required by our Product Teams. Leverage statistical analysis to understand what is acceptable versus outliers .
• Ability to present insights to business stakeholders through Tableau / Grafana / Powerpoint / Excel in a compelling manner.
• Ability to successfully collaborate with both business users and engineers for effective analytical solution development and deployment.

Create automated KPI dashboards and monitoring reports.

• Passion to drive actionable insights from product usage and other relevant data to measure success of experiments, diagnosis of issues, understanding of general consumer behavior.
• Knack for conducting the apt Data Exploration needed to enhance the cleanliness and effectiveness of our data sources.
• Discipline to create well documented coding and analytics packets to ensure reusability as the team expands.
• Effective communication, ability to translate and explain technical issues to non-technical team members

Bonus points for :

• Experience in analytics at app-based / Consumer Tech companies
• Familiarity with Big Data frameworks like Snowflake, Spark and AWS services
• Experience creating automated data tables using dbt and Airflow
• Expertise in Tableau dashboarding and / or Grafana dashboarding
• Knowledge of the Atlassian suite including Bitbucket, Confluence, and Jira
• Experience resolving merge conflicts in git and engaging in formal code review

At Fetch, we'll give you the tools to feel healthy, happy and secure through :

• Stock Options for everyone
• 401k Match : Dollar-for-dollar match up to 4%.
• Benefits for humans and pets : We offer comprehensive medical, dental and vision plans for everyone including your pets.
• Continuing Education : Fetch provides Ten Thousand per year in education reimbursement
• Employee Resource Groups : Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy.

The ERGs participate in our Inclusion Council with members of executive leadership.

• Paid Time Off : On top of our flexible PTO, Fetch observes 9 paid holidays, including Juneteenth and Indigenous People’s Day, as well as our year-end week-long break.
• Robust Leave Policies : 18 weeks of paid parental leave for primary caregivers, 12 weeks for secondary caregivers, and a flexible return to work schedule.
• Hybrid Work Environment : Collaborate with your team in one of our stunning offices in Madison, Birmingham, or Chicago.

We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home.