Sr. Data Analyst
Company: System One
Location: Dallas
Posted on: May 11, 2025
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Job Description:
Please send me your updated resume at
karan.bhatia@systemone.com
Read on to fully understand what this job requires in terms of
skills and experience If you are a good match, make an
application.
Job Summary:
The main function is to coordinate changes to computer databases,
test, and implement the database applying knowledge of database
management systems.
Job Responsibilities:
--- Work with senior management, technical and client teams in
order to determine data requirements, business data implementation
approaches, best practices for advanced data manipulation, storage
and analysis strategies
--- Write and code logical and physical database descriptions and
specify identifiers of database to management system or direct
others in coding descriptions
--- Design, implement, automate and maintain large scale enterprise
data ETL processes
--- Modify existing databases and database management systems
and/or direct programmers and analysts to make changes
--- Test programs or databases, correct errors and make necessary
modifications
Skills:
--- Experience with database technologies
--- Knowledge of the ETL process
--- Knowledge of at least one scripting language
--- Strong written and oral communication skills
--- Strong troubleshooting and problem solving skills
--- Demonstrated history of success
--- Desire to be working with data and helping businesses make
better data driven decisions
Education/Experience:
--- Bachelor's degree in a technical field such as computer
science, computer engineering or related field required or
equivalent work experience.
--- 6-8 years applicable experience required
Roles and Responsibilities:
Need individuals to come in and do in depth analysis, write
requirements, code solutions, work with partners to put prototypes
into production.
Position will be working on a team that support one or multiple
data domain(s) of the Retail Business and driving the data needs of
the domain(s), through partnership with technology to gather
requirements, drive solutions, architect/ design/ develop nimble
data solutions, and implement business rules into production. The
position will require both technical and non-technical skills sets,
working with agile projects, partnering with business partners to
make informed decisions, writing/ developing code and business
logic, documenting data assets, issue resolutions, and completing
ad hoc requests. Advanced organization, time management, critical
thinking, communication, and technical skill will be required to
navigate small and large scale initiatives to support the data
domain.
**Please note that the manager DOES NOT want data engineers**
Technical Skills:
Business acumen with Technical skill set
Experience with programming on Hadoop, Teradata, and/or Oracle
platforms in SQL, Spark, and Python.
Experience working with relational databases, big data,
unstructured data files, and understanding data warehouse/ ETL
concepts.
Experience with Oozie, Slurm, Iceberg, or similar automation
tools.
Intermediate Excel skills.
Experience in data visualization tools like Tableau, Elastic Stack,
and Power BI.
Ability to create process flows.
Experience with business analytics.
Experience developing and maintenance of documentation both
technical and process/procedural.
Flex Skills:
Good working understanding on Agile framework, Jira, Confluence,
and Git repositories.
Knowledge of retail lending (know what loans, deposits, etc.)
Soft Skills:
Ability to conduct in depth technical discussions with both
technology partners as well as be able to convey technical concepts
and approaches to business stakeholders.
Degrees/Certifications: Bachelor's Degree
This position doesn't support sponsorship, we are looking for
individuals who can work without sponsorship.
Please apply if you have the following skills and background and
our team will get in touch with you.
Ref: #404-IT Pittsburgh
#LI-KB1
#M1
Keywords: System One, Lewisville , Sr. Data Analyst, Professions , Dallas, Texas
Click
here to apply!
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