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Responsibilities:
Participate in preliminary data analysis for new projects to determine whether required data exists within DTCC; identify and document authoritative sources for existing data; define onboarding plans for new data
Collaborate with business and operational partners to comprehensively analyze data in order to produce business data element names, document clear and accurate data element descriptions, and identify valid values for the data
Actively engage with domain experts across various business lines to understand and document business requirements for data and to integrate data with process flows
Assist data modelers in producing conceptual and logical data models, including entity and attribute names and definitions
Use the enterprise metadata repository to input and handle required metadata for critical and prioritized data elements in support of data management initiatives and enterprise-wide data efforts
Support data quality through data profiling, defining and documenting data quality and data validation rules, performing root cause analysis for identified data quality issues, and supporting data cleansing efforts to ensure that data is fit for its intended use
Assist the Data Steward with project planning, identification of resource requirements, and effort estimation
Independently manage assigned projects, across the life cycle from initiation through to closing
Develop and deliver clear and concise, high-quality presentations to partners and leadership that provide the appropriate level of detail for the intended audience
Participate significantly as a core member of one or more agile squads, including attending daily stand-up, grooming sessions and other agile ceremonies, documenting user stories, and tracking and reporting on relevant project metrics
Full Time
$91k-119k (estimate)
07/03/2024
09/02/2024
The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.
If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Analyst job description and responsibilities
A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.
12/10/2021: Lynchburg, VA
Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.
02/10/2022: Temple, TX
Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.
12/21/2021: New London, CT
Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.
12/24/2021: Alamogordo, NM
Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.
03/03/2022: Santa Maria, CA
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Analyst jobs
Data analysts typically work with existing data to solve defined business problems.
02/20/2022: Laramie, WY
Data analysts rely on various tools to collect and make sense of their data.
01/17/2022: Melbourne, FL
Banks and financial firms need data analysts for financial reporting and forecasting.
03/04/2022: Akron, OH
Data analysts often work directly with more senior data team members like data scientists or data engineers.
03/02/2022: Grand Forks, ND
Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.
02/26/2022: Las Vegas, NV
Step 3: View the best colleges and universities for Data Analyst.