Data Analytics Lead Job Description

Data Analytics Lead Job Description

172 votes for Data Analytics Lead
Data analytics lead provides strategic vision, leadership and management of the data governance practices, design, architecture and implementation of enterprise data collection, storage, mining, machine learning, visualization, analytics, integration, and interface strategies to improve systems, business, research and clinical capabilities – including enterprise data warehouses, data marts, master data management, data quality, data profiling, data masking, data integration (ETL, CDC), and metadata.

Data Analytics Lead Duties & Responsibilities

To write an effective data analytics lead job description, begin by listing detailed duties, responsibilities and expectations. We have included data analytics lead job description templates that you can modify and use.

Sample responsibilities for this position include:

Working knowledge of machine learning, natural language processing, and statistical analysis methods
Create and maintain a data pipeline the associated tools to analyze that data and create usable statistical models that can drive our product forward
Facilitate and monitor Consultant data requests to other more equipped areas including Plan Reporting, Asset Management and Client Services
In conjunction with Asset Management, complete the build out of a new, company-wide data request process
Coordinate effort to identify reporting needs of consulting firms and build our standard reporting packages
Manage the effort to drive consulting firms to self-service through technology – Plan Focus and automated data feeds
Collaborate on data analytic best practices, risks, interpretation of firm-wide standards
Technical lead, as a subject matter expert, is responsible for the execution of milestones that are critical to the project
Project lead is the single point of contact for the entire project
Identifies and validates the commercialization prospect of new data analytics technologies by working closely with marketing and product engineering team

Data Analytics Lead Qualifications

Qualifications for a job description may include education, certification, and experience.

Licensing or Certifications for Data Analytics Lead

List any licenses or certifications required by the position: AWS, PMP, ITIL, PMI, CISA, CPA, CIA, CFE, ASQ, SAS

Education for Data Analytics Lead

Typically a job would require a certain level of education.

Employers hiring for the data analytics lead job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Statistics, Engineering, Mathematics, Business, Economics, Technical, Science, Finance, Business Analytics

Skills for Data Analytics Lead

Desired skills for data analytics lead include:

Banking analytics
Challenges for a data integration implementation and data integration methodology
Compliance/surveillance systems
Credit risk
Financial model creation
AML-related legal and regulatory requirements
Machine learning
Microsoft Excel

Desired experience for data analytics lead includes:

Strong knowledge of information technology, risk controls and application controls
Business Knowledge / Skills
10 years of experience in BIO practice management including support of Technology and Operations Functions
Ability to analyze complex data sets and make succinct recommendations
Strong communication skills, attention to detail, and ability to independently manage large projects
Experience with large data sets and analytics tools

Data Analytics Lead Examples


Data Analytics Lead Job Description

Job Description Example
Our innovative and growing company is looking to fill the role of data analytics lead. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data analytics lead
  • Build core competency in Risk technology application teams around Cloud and Big data – Hadoop platform which is part of the Risk technology strategy
  • Provide recommendations to create the categories/structure that will be used to draft the Category Management/Strategic Sourcing Strategy document
  • Document and present information in the Business Intelligence Tool
  • Provide technology leadership in analytics visualization to design solutions and deliver effective user-centric and intuitive analytics tools and dashboards
  • To identify and assist in developing propositions
  • Work with database developers to optimize performance of reporting environment individual reports
  • Assess current state of operational performance through data analysis and internal and external stakeholder discussions
  • Manipulate and analyze data from a wide variety of corporate databases, including various SQL databases, Access, Excel, plain or formatted text files, Oracle, and no-SQL databases
  • Use the data to identify issues and their root-causes
  • Develop and present compelling business cases (proposals) to implement changes that will optimize our services, translating technical data and concepts into ‘plain English’ for non-technical stakeholders and articulating the revenue opportunity
Qualifications for data analytics lead
  • 2-3 years experience at a consumer tech company, investment bank, or management consulting firm preferred
  • BS or MS in Engineering, Computer Science, Math, Stats preferred
  • Software development or internet marketing experience preferred
  • Software development skills in high level languages (R/C#/C/C++/Java/Python) and rapid prototyping platform (MATLAB/SIMULINK) are required
  • Provides customized (statistical) analyses for client work
  • Work with project stakeholders to identify business needs and gather requirements for data visualization or deployment of BI tools

Data Analytics Lead Job Description

Job Description Example
Our company is looking for a data analytics lead. 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 analytics lead
  • Design and implement automated processes to expedite the collation and review of data sources
  • Work with the BI team (who focus on how we use leverage our data externally) to share knowledge, approach and insights
  • Design and develop data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching
  • Make recommendations for investment in third party tools that will support the function
  • Measure the success of enhancements post implementation to identify the revenue upside generated
  • Build out the Bookability team opportunity
  • Transforms major business change initiatives into strategic-level systems solutions
  • Partners within BU IT and J&J organizations to identify emerging technologies to meet business needs, where appropriate
  • Performs risk assessment, develops a contingency plan, and realigns project efforts, developing possible alternatives and recommendations when unanticipated situations arise
  • Forms productive networks with internal business partners, external customers, and the vendor community, effectively and proactively managing expectations and integrating potentially diverse needs and perspectives
Qualifications for data analytics lead
  • Willingness to become proficient in project management
  • Experience of implementing and using major analytics tools Google Analytics, Webtrends, Omniture and/or Adobe SiteCatalyst
  • Exceptional analytic skills to provide insights recommendations that convinces key company stakeholders of business benefits
  • 8+ years experience managing and overseeing complex technology infrastructure programs
  • 2+ years experience with SQL and statistical analysis
  • Receives requests from case teams and oversees their execution and documentation

Data Analytics Lead Job Description

Job Description Example
Our innovative and growing company is searching for experienced candidates for the position of data analytics lead. 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 analytics lead
  • Collaborates with business partners to identify innovative methods of leveraging technology to improve efficiency, quality, and speed to achieve successful outcomes
  • Contributes to strategic growth plans for the IT organization, recommending directions for long-term spending and profitable growth for the business partner
  • Prioritizes initiatives and identifies opportunities for technology to add business value in conjunction with business leaders
  • Leading the global expansion of our connected digital product propositions by advising and influencing Business Leaders and senior other stakeholders with data-driven insights
  • Translating data strategies and data models into business and user value
  • Embed the connected digital platforms and propositions data strategy and ensure that insights delivered are strategic, impactful, measurable and drive business improvements
  • Ensure business commitments to proposition targets and engage stakeholders to evolve and improve their solutions
  • Able to communicate the value of data clearly by articulating both the high-level concept and detailed user stories for proposition improvements/evolution and convince teams to adopt data-driven improvements and close-the-loop
  • Leading and inspiring a team of Data Analytics Product Managers by coaching and guiding them through this change journey
  • Scope key business challenges, identify the right data (information) and provide direction to data analysts, data analytics product managers, data scientists, data engineers and business stakeholders
Qualifications for data analytics lead
  • Self-starter with a continuous improvement mindset
  • Scopes requests and drafts effort estimates / proposals for requests in collaboration with the case team
  • Collaborates actively with case teams to identify and address client needs
  • Undergraduate degree in a field linked to data engineering, business analytics, applied mathematics, computer science, IT, computer applications, engineering or related field is required
  • 4-5+ years relevant industry experience, focus on data visualization & statistics preferred
  • Project leadership or resource management experience

Data Analytics Lead Job Description

Job Description Example
Our growing company is searching for experienced candidates for the position of data analytics lead. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data analytics lead
  • Acting as a data protection ambassador by ensuring data privacy and security
  • Analysing all controls in terms of completeness, accuracy and timeliness
  • Ensuring all data points through control stack work as expected
  • Remediating all outputs from the MiFID II Transaction Reporting workstream
  • Understanding all new architecture and controls
  • Investigating ongoing issues, categorise and escalate
  • Working with various owners through to resolution
  • Should issues not be resolved prior to go-live, providing input to tactical solutions
  • The combination of (mostly) do and think
  • Leading as a role model
Qualifications for data analytics lead
  • You need to love data!
  • Bachelor's Degree in Finance, Accounting, Business, Computer Science, or related fields
  • Strong data analysis experience - gather, merge, and cleanse large, complex data sets
  • Expert-level user of Excel required
  • Highly motivated with the ability to work on a team independently
  • 10+ years of experience creating business value through data analytics, incorporating the lifecycle of solution design, implementation, and operations

Data Analytics Lead Job Description

Job Description Example
Our growing company is looking for a data analytics lead. 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 analytics lead
  • Working in a data driven squad and contribute technically to the business objectives using the agile way of working
  • Sharing knowledge with colleagues and encouraging them to get the best out of themselves
  • The continuous development of your own expertise and your chapter colleagues and thus contribute to the further development and renewal of the discipline
  • Actively ask for help and feedback, but also comfortable with giving feedback
  • Assessing the Scrum Maturity of the team and coaching them to higher levels of maturity
  • Building a trusting and safe environment where problems can be raised without blame or being judged, with an emphasis of healing and problem solving
  • Planning the workload of the scrum teams from a day to day point of view, and managing the capacity of the sprints to ensure successful delivery
  • Build a good team capability and also be a great team player
  • Manage team prioritisation based on your understanding of business needs and benefits
  • Strong organisation skills and the ability to follow defined processes
Qualifications for data analytics lead
  • Experience in data analytics and database programming languages
  • Design of analytical solutions, including statistical models & predictive analytics to support data-based decisions, including implementation and coordination with Supply Chain stakeholders
  • Develop in-depth subject matter-expertise in understanding key strategic data sources and data lineage within the organization to derive meaningful data analytics results
  • Lead Analytics and Master Data teams providing direction and coaching in continuous improvement efforts and daily activities to ensure achievement of goals
  • Coordinate with Marketing, R&D, Manufacturing and IT continuous improvement on Material Advancements process and all Master Data usage across the organization, including Lexicon, ECC, APO, SW
  • Report Supply Chain Metrics, creating and maintaining a flexible and interactive dashboard to reach multiple levels of audience in the organization

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