38 Data Analyst Jobs in Pittsburgh, PA
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Digital Intelligence Systems, LLC is Hiring a Data Analyst Near Pittsburgh, PA
Job Description
Data Analyst
Pittsburgh, PA or Lake Mary, FL: Locals Only
12 Months
What are the top 3 skills that you'll be looking for on a resume? Data Analysis - Data Testing, Strong SQL or similar abilities, BI Tooling (Alteryx), Data evaluation, Data source migration
Manages a small to medium-sized team responsible for the design and development of the information.
Manages analysis of application data requirements for new and enhanced data processing applications and the development of conceptual and logical models of the data as a prerequisite for physical database design.
Manages the analysis and design of data models and logical databases at the data element level consistent with the corporate architectural models.
Coordinates the logical design of databases to promote data sharing and to reduce redundant data processes across multiple computing environments (e. g. , host based, client server, distributed systems, Web, e-commerce).
Manages the identification and analysis of corporate-wide information flows and interfaces between business processes to develop logical database designs, detailed data models and relational database designs.
Establishes and maintains standards for defining, naming, and creating data elements.
Provides comprehensive consulting to client and IT management and staff in the identification and resolution of information flow and content issues.
Participates in the recruiting process; instructs, assigns, directs and reviews the work of other data analysts; prepares performance reviews and provides ongoing feedback.
Manages a data modeling/warehousing team.
Contributes to the achievement of team objectives.
Advanced degree in computer science or a related discipline, or equivalent work experience required.
Experience in all phases of data modeling, data warehousing, data mining, data entity analysis, logical database design and relational database definition, or an equivalent combination of education and work experience required; experience in the securities or financial services industry is a plus.
Digital Intelligence Systems, LLC (DISYS) is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.
Job Summary
Other
$70k-91k (estimate)
03/20/2023
05/31/2023
disys-usa.com
Mclean, VA
<25
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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.
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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.
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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.
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Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.
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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.
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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.
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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.
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Data analysts rely on various tools to collect and make sense of their data.
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Banks and financial firms need data analysts for financial reporting and forecasting.
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Data analysts often work directly with more senior data team members like data scientists or data engineers.
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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.
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Step 3: View the best colleges and universities for Data Analyst.
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