Data Insights Job Description
Data insights
provides management with timely and accurate data model information and analysis of performance (key performance indicators, metrics).
Data Insights Duties & Responsibilities
To write an effective data insights job description, begin by listing detailed duties, responsibilities and expectations. We have included data insights job description templates that you can modify and use.
Sample responsibilities for this position include:
Knowledge of Hadoop, Tableau, Redshift, Jira and like tools
Gather and interpret data to support the business development and product lifecycle
Build models to gain insights on what drives product performance in terms of both revenue, user satisfaction
Provide feedback to product and engineering teams on impact of product launches
Frame business problems into questions that can be answered through data analysis, and translate business needs into requirements that can be understood by technical teams
Become an expert at using variety of internal data systems
Conduct data mining to understand user behavior
Monitor data quality and product innovations
Ensure that results are presented in ways that engineering and business colleagues can understand and act upon
Be responsible for identification of data integrity issues within your business processes, information systems, and reports
Data Insights Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Insights
List any licenses or certifications required by the position: PMP, AWS, PMI, SQL, MCITP, MCDBA, CISSP, CAMS, SAS, ITIL
Education for Data Insights
Typically a job would require a certain level of education.
Employers hiring for the data insights job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Statistics, Computer Science, Mathematics, Economics, Engineering, Business, Technical, Science, Finance, Marketing
Skills for Data Insights
Desired skills for data insights include:
SQL
Tableau
Web metrics
Dimensions and web key performance indicators
Big data tools / languages
Python
R
Healthcare industry trends and data
Distributed systems
Microstrategy
Desired experience for data insights includes:
Solid analytical skills and business acumen, combined with the ability to formulate insights, present a compelling case for action, and deliver expert advice and recommendations
1-2+ years Web experience in Business Intelligence or Data Analyst
Data modeling, Excel, Macros, Access, or other modeling software, model and manipulate large data set, problem-solving, and creative thinking in analysis, strong communication skills, some project management skills, working in matrix organization
Apply statistical and advanced analytical techniques to optimise and improve business performance for any Barclays Business or Function for specific complex business problems and use cases (eg
Develop strategies as necessary to support the business in achieving/beating financial targets (eg
Identify need for new/ updated tools and champion the integration into strategies
Data Insights Examples
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Data Insights Job Description
Job Description Example
Our innovative and growing company is searching for experienced candidates for the position of data insights. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for data insights
- Ensure that appropriate agreed controls (manual and / or system-based) exist and are executed to deliver the required data integrity
- Ensure that controls around data capture are recorded in line with principles around timeliness and accuracy
- Co-ordinate changes required at the business level to accommodate user-driven changes in data requirements
- Co-ordinate and advise on changes required at the business level to re-define and implement business process changes
- Work with the BFS Data Integrity Office to conduct root-cause analysis on data integrity issues and advise on the proper course for remediation
- Be responsible for the timely resolution of issues at the business level that are causing defects in their Business unit's data
- Represent your business area at the Data Quality Working Group to agree initiatives that will address data integrity in BFS
- Manages general insurance data and reporting projects and works in partnership with several business units to deploy new solutions
- Helps his team gather and document business intelligence requirements related to reimbursements projects and complex extracts
- Manages development of temporary reports, lists and complex extracts used to evaluate potential reimbursements and process them
Qualifications for data insights
- University degree or equivalent required preferably in a quantitative discipline
- Advanced knowledge of Excel (nested functions, pivot tables, VBA)
- This position requires a strong problem solver who can decipher large datasets from numerous sources and systems (Data will not be available from a single enterprise data warehouse)
- Quality and accuracy is critical, as this data will be used to perform Analytics and develop business insights and recommendations
- To be successful, the candidate must be independent, persistent and willing to stretch beyond a typical analytical role
- This is a great opportunity for someone looking to work in a "start-up" environment, develop leadership skills, work with complicated data, enhance their skillsets and help build a department from the ground-up
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Data Insights Job Description
Job Description Example
Our company is growing rapidly and is looking to fill the role of data insights. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for data insights
- Work through complex data pipelines using SQL and other data processing tools
- Develop knowledge of healthcare industry trends and data
- Ensures a direction on roles and responsibilities between his team and partner teams on projects
- Analyze large volumes of digital clickstream data to gain Insight and identify opportunities for improvement
- Create custom metrics and dimensions to address analysis questions within Adobe Insight to meet business objectives
- Provide consistent updates on the status of progress/issues, risks and concerns to digital analytics
- Work with multiple data sources regarding issues of quality and integrity
- Responsible for program management of complex Data & Analytics initiatives at the portfolio, program and project level
- Build data capabilities that will enable long term growth
- Advise senior Data executives on resource allocation and resource needs
Qualifications for data insights
- Degree in Engineering, Business, Economics, Mathematics/Statistics, Computer Science or related field
- Demonstrated ability to problem solve and leverage analytics to create a story and drive business insights
- Good team player, Collaborative, Creative, and Entrepreneurial
- Demonstrated use of Agile or Kanban methodology for a full life-cycle development project
- Rigour and quality of the work, sense of the organization
- Aptitude for managing, coaching and planning resources
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Data Insights Job Description
Job Description Example
Our company is growing rapidly and is hiring for a data insights. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for data insights
- Previous work experience and knowledge of Big Data environments, platforms and practices from ingestion, cleansing through analytics and reporting
- Implement enterprise big data and analytics platforms using Data Science to drive business growth, simplification, cost productivity and quality
- Understand the business process and build domain expertize in the healthcare industry to implement physics based expert modeling, machine learning & artificial intelligence and theoretical & applied statistics models to drive insights to deliver business outcomes on growth and variable cost productivity
- Managing the development of analytics processes and the implementation of sound methodologies
- Participating in data analysis, generating working hypothesis and cultivating a team that can form the same, helping identify behavioral patterns and applying statistical methods to uncover opportunities for enhancing the firm’s performance
- Participating in defining scope, objectives, sequence and quality controls of new projects
- Helping staff and clients in the framing of business questions and practices in analytic terms and translating business requirements for required operations, systems and outputs
- Influence decisions and help drive a culture of data science through effective communication of departmental success via in-house vehicles, white papers, presentations and publications
- Constructing and presenting ideas, prototypes and proofs of concept
- On-going development and implementation of operational and maturity models of the department and integrating the practice and understanding of data science throughout the business
Qualifications for data insights
- Experience in the Insurance and/or Banking industry preferred, but not mandatory
- Ability to take difficult decisions based on best interest of the company
- Innovative and creative with a view for improving efficiency at work
- Demonstrate facility at working in a position involving diverse tasks
- Project a professional image and act accordingly
- Foster team spirit and organization loyalty
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Data Insights Job Description
Job Description Example
Our company is searching for experienced candidates for the position of data insights. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for data insights
- Familiarity with eCommerce, web analytics and big data platforms and Tableau a plus
- Commissioning and helping in experimental research designs (e.g., A/B testing) to test hypotheses for purpose of refining business objectives, processes or strategies
- Informing customer satisfaction surveys and consulting on methods of data collection
- Providing leadership, direction and guidance to staff of data scientists and analysts, and strategic council to the Managing Director
- Equipping staff with the skills, tools and teammates required to enable outcome-driven analytics practices and deliverables
- Practicing outcome-driven methods of customer needs assessment and success measurement
- Cultivating opportunities for the application of Advanced Analytics
- Staying current with developments and innovations in analytics and visualization technologies, and advising on these technologies for adoption consideration
- Preferred Bachelor’s degree in a quantitative or technical discipline (Computer Science, Statistics, Math) or relevant experience in the field in addition to experience as a business user of data in a management, sales, or marketing or client-service capacity
- 10 + delivering analytical insights and reporting solutions for business users of data
Qualifications for data insights
- Experience in Business Intelligence projects
- Knowledge in Business Intelligence best practices
- Experience in projects (Knowledge in SDLC/PMLC development methodologies)
- Very good knowledge of office computing tools (Word, Excel, Windows)
- 10 years’ experience working on projects development
- 5 years’ experience in team management or relevant experience in a similar role
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Data Insights Job Description
Job Description Example
Our company is searching for experienced candidates for the position of data insights. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data insights
- Practical working knowledge of data mining techniques and statistical modeling tools
- Demonstrated client service skills in a customer facing role
- Service in a Leadership role within an agency/data service environment time spent in a manager (+) level as a user/consumer of data to make business decisions
- Experience informing the development and implementation of scalable BI and Reporting solutions in restrictive security environments
- Adept in framing questions designed to reveal desired outcomes relative to business goals and objectives for analytical and reporting purposes
- Seasoned collaborator that works well with stakeholders, development teams and executives
- Working knowledge of analytic modeling techniques such as regression, decision trees, neural networks, text mining, clustering models and segmentation matrices
- Practiced in directing the proper use of data segmentation and cross-validation procedures
- Proficient in some evaluation techniques for classification model accuracy such lift, cumulative response and profit curves among others
- Capable of communicating quantitative results in laymen’s terms for business users
Qualifications for data insights
- 7+ years experience in qualitative and quantitative advertising analysis with strong customer-facing, consultative expertise
- Experience with Hive or Pig required
- Deep understanding of search advertising, media consumption patterns, and online ad effectiveness measurement
- Ability to tell compelling stories using multiple data sources
- The position is open for Sunnyvale, CA or New York City
- Demonstrated success working in a cross-functional environment, leading change amongst peers and senior management