Lead Data Analyst Job Description
Lead Data Analyst Duties & Responsibilities
To write an effective lead data analyst job description, begin by listing detailed duties, responsibilities and expectations. We have included lead data analyst job description templates that you can modify and use.
Sample responsibilities for this position include:
Lead Data Analyst Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Lead Data Analyst
List any licenses or certifications required by the position: PMP, CISSP, ITIL, CIPP, CIPT, CISM, PL/SQL, SAS, IQCP, CDMP
Education for Lead Data Analyst
Typically a job would require a certain level of education.
Employers hiring for the lead data analyst 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, Mathematics, Engineering, Economics, Business, Finance, Science, Education, Accounting
Skills for Lead Data Analyst
Desired skills for lead data analyst include:
Desired experience for lead data analyst includes:
Lead Data Analyst Examples
Lead Data Analyst Job Description
- Drive Change and improvements – Identify and support changes that will prevent DQ issues
- Attribute development, auditing, documentation
- Security Layer – Cisco ASA, IPS
- Network Load Balancing – Big IP F5 incorporating the Load Balancing and Remote access modules
- Storage Networking – FCOE with Nexus switches
- IT Project leadership for Data Quality initiatives by driving on-time and quality project deliverable
- IT Project leadership for Data Conversion projects by driving on-time and quality project deliverable for SAP/Oracle ERP implementations
- Understanding the local site data and mapping it to ERP
- Mentoring and supporting additional FTE data steward resources
- Test sample data-sets to check that the output from the application works as intended, conduct QA and UAT in development
- Experience with the mainframe zOS, distributed server environments (Unix, Windows, ), databases (Oracle, DB2, Teradata, ), ETL middleware
- Masters, Computer Science – applied (not theoretical) CS education – could have advanced degree in math, statistics, informatics and/or work experience showing sufficient breadth and sophistication
- Experience with Hadoop/Spark and/or C#/JAVA for developing Windows and Web applications is a plus
- Actively pursues and applies new advancements in the industry and integrates into processes
- Previous experience should include supporting transactional process metrics and reporting
- Proficient in desktop applications such as Word, PowerPoint
Lead Data Analyst Job Description
- Responsible for designing and implementing health services research with scientific rigor
- Serve as a consultant/process expert in designing studies within health services research and provide training and support to other analysts as needed
- Liaise with other local and central teams to share knowledge and best practices
- Travel as needed for client meetings, team meetings, AX leadership meetings
- Closely partner with the other regional leads in North America under the guidance of the AX Americas Director
- Lead a team of Business and Data Analysts, of various experience levels, within a portfolio, providing coaching and mentoring to the team
- Own and manage the project requirements definition stage of the project lifecycle, working closely with business stakeholders, procurement and IS teams to define clear business needs and translate these into technical IS requirements
- As a highly experienced analyst, you will act as an advisor to the business in relation to translating complex preliminary business needs into benefits, time and resource estimates, project scope and objectives, in order to meet strategic organisational goals
- Contribute to the identification of projects at strategic level and the development of business cases to support development of these project into project initiation
- Have a view of all projects across the domain and in some cases portfolio in order to identify synergies and overlapping projects or requirements
- A champion of data management best practices who is not afraid to communicate the risks of poor data quality and to advocate for improvements
- Bachelor’s degree in Computer Science, Physics, Mathematics, Economics, Financial engineering, or any related field
- Analytical mindset -- you are critical, quantitative, inquisitive, and insightful
- Business focused -- you can identify opportunities where we can apply analytics and data mining techniques to solve difficult business problems
- Entrepreneurial in nature -- you are resourceful, adaptable, and have an eye for optimization
- Compelling communicator - you can communicate to non-technical audiences, persuade others to accept your ideas, and collaborate with cross-functional teams
Lead Data Analyst Job Description
- You will address questions on reporting logic, metrics, scorecards, in conjunction with Data Quality Analysts and Business Stewards
- Directly responsible for projects or subprojects of significant complexity
- Prepare user documentation and training materials
- Act as a liaison between QA, QC, Process Analytical Sciences, and Manufacturing group to provide trending analyses of in process data to support various activities such as manufacturing investigations, validation studies, and PAR studies)
- Assist in the implementation and maintenance of product release data trending program for each product candidate
- Trend QC reference standard data
- Generates certificate of analysis to support the release and disposition of product lots
- Maintains up to date training records for self and direct reports
- Performs monthly performance feedback meetings with direct reports
- Identify and assist Data Governance with data definitions
- Ability to create a Proof of Concept using a programming or scripting language java, perl, python
- Bachelor’s Degree in Marketing, Business, Industrial Engineering, Business Administration, Math, Finance or related industry experience
- Degree in related field or Diploma plus 10 years experience
- Intermediate knowledge working with SSIS
- 5+ years of working with Health Care claims, especially with Alternate Submission Method (ASM)
- Bachelor's degree in Computer Science, Engineering or Technology preferred Industry or equivalent experience and technical training is required
Lead Data Analyst Job Description
- Responsible for comprehensive analysis of data
- Work closely with senior team members to strategize on projects, and develop/execute evaluation plans
- Contribute to proposal and manuscript writing efforts in addition to providing data analytic expertise
- Collaborate with Division teams to design and implement routine analytic reports for consumption by interdisciplinary teams
- Provide data interpretation expertise to interdisciplinary teams to assist them in optimizing performance
- Work with grant proposal development teams to lead/develop analytically sound methodology and written descriptions of design and analyses sections
- Contribute data and analytic expertise to proposal and manuscript writing efforts
- Provide IA Engineering support including design, architecture, integration, certification and accreditation, and sustainment of all associated network devices
- As IAM for Navy ATO certified system, maintain system DIACAP or RMF documentation in eMASS
- Have a working knowledge of NAVSEA Vulnerability Remediation Asset Manager (VRAM) and DISA ESPS
- Bachelor’s degree in computer science, mathematics or other relevant subject required
- Demonstrated achievement in Professional and/or academic pursuits – high GPA, academic honors
- Replace the current IAS 39 standard
- Addresses classification and measurement
- Standardizes impairment methodology and hedge accounting
- Contribution to the data preparation
Lead Data Analyst Job Description
- Independently developmodelsacross a multitude of projects, such as digital buyer journey, web site optimization, propensity to respond using R, Python or other language/Machine learning libraries
- Provide oversight of personnel and collaborate with Program Managers and Team Leads regarding operations, compliance and customer deliverables
- Manage and/or oversee team policies and SOPs regarding customer operations
- Develop short and long-term deliverable goals
- Facilitate cross-team functions
- Responsible for management/oversight of specialized unit projects
- Conduct outreach and coordinate closely with both internal and external stakeholders
- Use IC-derived best practices to work independently on complex problems in all phases of the classified program
- Collaboration with business, IT, and data analysis resources to capture, prioritize and document data analytics and automation requirements, and drive measurable results
- Recommend types of analytics and data processing approaches to apply to meet business objectives
- Supporting a modelling team responsible for IFRS9 model build
- Bachelor’s degree or advanced degree in quantitative discipline
- Formulate plans for establishing and operating a Treasury data quality practice
- Facilitate and document meetings with stewards, stakeholders, development teams
- Prepare formal reports and presentations of findings and recommendations
- Strong statistics knowledge, application, and tool use