• Snapboard
  • Activity
  • Reports
  • Campaign
Welcome ,

Chat with the recruiter

...Minimize

Hey I'm Online! Leave me a message.
Let me know if you have any questions.

Data Business Analyst

In California / United States

Save this job

Data Business Analyst   

Click on the below icons to share this job to Linkedin, Twitter!

JOB TITLE:

Data Business Analyst

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

Santa Clara California / United States

JOB DESCRIPTION:

Job title: Data Business Analyst

Location: Remote

Duration: Long term

Accountabilities

As a Data Business Analyst, you will contribute to Data Readiness based on business data needs by participating in the requirements elicitation of Data Requirements, Data Quality and Data Transformations requirements from Source to Target requiring in-depth understanding of Data Models to facilitate DEV/OPS Engineers for development and maintenance of ETL solutions and associated functionality in Enterprise Date Lake and Analytics Platforms using the Agile/Scrum methodology.

  • Derive Technical requirements from Business (Functional) Requirements including data quality, data security, data privacy and other relevant requirements for creating Interface Requirements Specifications for data readiness by adhering to the relevant data governance standards and policies.
  • Explanation of the requirements, and execution of these data requirements to the Dev/Ops Squads within the Squads of Enterprise Data Lake.
  • Initiate and Conduct Impact Analysis with all relevant stakeholders and Squads in the event of changes in requirements any new requirements introduced on the current/planned releases or upcoming releases.
  • Contribute to the preparation and specification of Epics and User Stories together with the Product Owners and involved squads.
  • Identify dependencies, risks and issues across the countries/domains/data Consumers during the execution of Business Initiatives as well as keeping track of the execution across the countries/domains/data Consumers.
  • Design and derive Non-Functional Requirements for data processing, retention, archiving methods based on Business Requirements and SLA's from Business which includes Daily data feeds/loads into the Analytics Platform(s)
  • Provide relevant inputs for building a desirable quality assurance plan in cooperation with the various stakeholders/Squads for UAT and capture results for measurement against Definition of Done.
  • Supporting status reporting for at regular intervals.

You will help build and optimize dashboards, support improvements and create training documentation.

You will also perform the following tasks:

  • Interpret data, analyse results using statistical techniques and provide ongoing reports.
  • Develop and implement data collection methods, mechanisms and other strategies that optimize statistical efficiency and data quality.
  • Acquire data from primary or secondary data sources and help maintain the data in databases/data systems in excel, Access and other suitable apps.
  • Identify, analyse, and interpret trends or patterns in complex data sets.
  • Propose solutions for data analysis and review reports and distribute internally & to customers.
  • Work closely with Data Stewards with domain expertise and Product Owner to prioritize business and information needs.
  • Locate and define new process improvement opportunities.

You also document and communicate appropriately to your peers on all outcomes of analysis.

Key Characteristics

  • Understanding of KYC processes (CDD, transaction monitoring, AML, Screening)
  • Experience in defining business requirements, translating the Business (Functional) Requirements into Technical/IT Requirements, Non-Functional Requirements, derive requirements to adhere to business processes and constraints across an enterprise, ideally in Financial Services
  • Sound understanding of how typical financial services functions and processes influence data quality, processing and management.
  • Experience or understanding with good Knowledge on AA-AI technologies and AA/AI implementations is preferred
  • Consulting mindset including an ability to think about data processing in a way that is abstracted from how technology is implemented
  • Design thinking that shows the connection between data extraction, transformation, analysis, enrichment, quality and business benefit and value.
  • Being hands-on and Documenting Data readiness requirements and performing in-depth analysis with domain experts, data providers and consumers
  • Ability to discuss data driven solutions with Senior business stakeholders and create summaries/proposals for decision making based on data insights. Previous experience in such roles is preferred.
  • Experience in defining Solution Outlines based on business requirements, architecture and translate into technical specifications for implementation by Squads
  • Experience in software development life cycle
  • In depth understanding on data Governance and Data Management, risk and compliance, and Operations.
  • Organizing UAT and coordination of business go-lives
  • Ability to interpret Results for consumption by Business Users and enable taking data driven decisions
  • Excellent Coordination and Communication Skills
  • Problem solving attitude
  • Being an agent for change to agitate and initiate action and challenge others via business designs and solutions
  • Results oriented with an ability to find ways of solving or pre-empting problems
  • Knowledge of data processing and analysis trends and processes

Profile Requirements:

  • Masters or BS in Mathematics, Economics, Computer Science, Information Management or Statistics.
  • Minimum 5 years of Proven working experience as a Customer Journey Expert, Data Analyst, or Information Analyst in a complex environment
  • Technical expertise regarding data models, database development & maintenance, data mining and segmentation techniques.
  • Knowledge on Advanced Analytics and AI modelling methods and techniques
  • Knowledge of statistics and experience using statistical packages for analyzing large datasets.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at queries, report writing and presenting findings.
  • Must be a skilled Excel user. Able to use formulas, pivot tables, create macros, and code in Visual Basic.
  • Must have strong interpersonal skills and be self-directed.
  • Must be able to work independently and according to the priorities set in the QBRs.
  • Will analyse data for trends, create charts and graphs, be able to support IT improvements.
  • Will create training materials, templates, etc. based on trends within current implementations to enable simplification and improvisation in future implementations.
  • Experience with Scrum and Continuous delivery is preferred.
  • Excellent (English) verbal and written communication skills
  • Customer Focus, Flexible and Team player
  • Focus on timely and high quality delivery with attention to details, delivery in a sustainable and maintainable way
  • Willingness to be on regular stand-by and work in Amsterdam Time-zone.
  • Technical knowledge and experience in Oracle databases, Datastage, BI tools / ETL, Agile/scrum/DevOps is an advantage.

Your Work Environment:
You will work together with your enthusiastic and professional colleagues in (virtual) BusDevOps Squads spread across multiple locations and multiple Squads.

Position Details

POSTED:

Aug 29, 2021

EMPLOYMENT:

INDUSTRY:

SNAPRECRUIT ID:

S1617465813035558

LOCATION:

California / United States

CITY:

Santa Clara

Job Origin:

CEIPAL_ORGANIC_FEED

A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Data Business Analyst    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Job title: Data Business Analyst

Location: Remote

Duration: Long term

Accountabilities

As a Data Business Analyst, you will contribute to Data Readiness based on business data needs by participating in the requirements elicitation of Data Requirements, Data Quality and Data Transformations requirements from Source to Target requiring in-depth understanding of Data Models to facilitate DEV/OPS Engineers for development and maintenance of ETL solutions and associated functionality in Enterprise Date Lake and Analytics Platforms using the Agile/Scrum methodology.

  • Derive Technical requirements from Business (Functional) Requirements including data quality, data security, data privacy and other relevant requirements for creating Interface Requirements Specifications for data readiness by adhering to the relevant data governance standards and policies.
  • Explanation of the requirements, and execution of these data requirements to the Dev/Ops Squads within the Squads of Enterprise Data Lake.
  • Initiate and Conduct Impact Analysis with all relevant stakeholders and Squads in the event of changes in requirements any new requirements introduced on the current/planned releases or upcoming releases.
  • Contribute to the preparation and specification of Epics and User Stories together with the Product Owners and involved squads.
  • Identify dependencies, risks and issues across the countries/domains/data Consumers during the execution of Business Initiatives as well as keeping track of the execution across the countries/domains/data Consumers.
  • Design and derive Non-Functional Requirements for data processing, retention, archiving methods based on Business Requirements and SLA's from Business which includes Daily data feeds/loads into the Analytics Platform(s)
  • Provide relevant inputs for building a desirable quality assurance plan in cooperation with the various stakeholders/Squads for UAT and capture results for measurement against Definition of Done.
  • Supporting status reporting for at regular intervals.

You will help build and optimize dashboards, support improvements and create training documentation.

You will also perform the following tasks:

  • Interpret data, analyse results using statistical techniques and provide ongoing reports.
  • Develop and implement data collection methods, mechanisms and other strategies that optimize statistical efficiency and data quality.
  • Acquire data from primary or secondary data sources and help maintain the data in databases/data systems in excel, Access and other suitable apps.
  • Identify, analyse, and interpret trends or patterns in complex data sets.
  • Propose solutions for data analysis and review reports and distribute internally & to customers.
  • Work closely with Data Stewards with domain expertise and Product Owner to prioritize business and information needs.
  • Locate and define new process improvement opportunities.

You also document and communicate appropriately to your peers on all outcomes of analysis.

Key Characteristics

  • Understanding of KYC processes (CDD, transaction monitoring, AML, Screening)
  • Experience in defining business requirements, translating the Business (Functional) Requirements into Technical/IT Requirements, Non-Functional Requirements, derive requirements to adhere to business processes and constraints across an enterprise, ideally in Financial Services
  • Sound understanding of how typical financial services functions and processes influence data quality, processing and management.
  • Experience or understanding with good Knowledge on AA-AI technologies and AA/AI implementations is preferred
  • Consulting mindset including an ability to think about data processing in a way that is abstracted from how technology is implemented
  • Design thinking that shows the connection between data extraction, transformation, analysis, enrichment, quality and business benefit and value.
  • Being hands-on and Documenting Data readiness requirements and performing in-depth analysis with domain experts, data providers and consumers
  • Ability to discuss data driven solutions with Senior business stakeholders and create summaries/proposals for decision making based on data insights. Previous experience in such roles is preferred.
  • Experience in defining Solution Outlines based on business requirements, architecture and translate into technical specifications for implementation by Squads
  • Experience in software development life cycle
  • In depth understanding on data Governance and Data Management, risk and compliance, and Operations.
  • Organizing UAT and coordination of business go-lives
  • Ability to interpret Results for consumption by Business Users and enable taking data driven decisions
  • Excellent Coordination and Communication Skills
  • Problem solving attitude
  • Being an agent for change to agitate and initiate action and challenge others via business designs and solutions
  • Results oriented with an ability to find ways of solving or pre-empting problems
  • Knowledge of data processing and analysis trends and processes

Profile Requirements:

  • Masters or BS in Mathematics, Economics, Computer Science, Information Management or Statistics.
  • Minimum 5 years of Proven working experience as a Customer Journey Expert, Data Analyst, or Information Analyst in a complex environment
  • Technical expertise regarding data models, database development & maintenance, data mining and segmentation techniques.
  • Knowledge on Advanced Analytics and AI modelling methods and techniques
  • Knowledge of statistics and experience using statistical packages for analyzing large datasets.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at queries, report writing and presenting findings.
  • Must be a skilled Excel user. Able to use formulas, pivot tables, create macros, and code in Visual Basic.
  • Must have strong interpersonal skills and be self-directed.
  • Must be able to work independently and according to the priorities set in the QBRs.
  • Will analyse data for trends, create charts and graphs, be able to support IT improvements.
  • Will create training materials, templates, etc. based on trends within current implementations to enable simplification and improvisation in future implementations.
  • Experience with Scrum and Continuous delivery is preferred.
  • Excellent (English) verbal and written communication skills
  • Customer Focus, Flexible and Team player
  • Focus on timely and high quality delivery with attention to details, delivery in a sustainable and maintainable way
  • Willingness to be on regular stand-by and work in Amsterdam Time-zone.
  • Technical knowledge and experience in Oracle databases, Datastage, BI tools / ETL, Agile/scrum/DevOps is an advantage.

Your Work Environment:
You will work together with your enthusiastic and professional colleagues in (virtual) BusDevOps Squads spread across multiple locations and multiple Squads.


Please wait..!!