Sr. Data Analyst - Kiewit Technology Group

Position Overview

As a Sr. Data Analyst, you will support the development of business focused data strategies through detailed data analysis.  You will analyze data sets to characterize data and help find the root causes of business challenges.  You will collaborate with the data team and business stakeholders, help to identify solutions that improve data quality, make data more accessible, and improve the flow of data through business systems.

District Overview

Kiewit Technology Group (KTG) builds solutions to enable and support a $12.5 billion company. Our mission is to deliver project schedule and cost certainty by employing technology designed by and for the construction industry. Our team deploys technology solutions to the field and home office departments that increase profitability by maximizing the way we use our people and resources in daily operations. KTG uses systems and tools that manage every part of Kiewit’s business and lifecycle of a project to improve planning and day-to-day execution in the field by giving our people real-time data to make faster, smarter decisions. When you join KTG, you will make an impact on the critical work we do every day. 

Location

This position will be based out of our Kiewit Business Center at 12720 I Street. This is a shared service center in a professional office setting.

Responsibilities

Data Profiling:

• Data format, size, content, volume, velocity
• Link technical metadata to business terms from Enterprise Conceptual Model
• Identify data classification
• Basic data quality profile:
• Completeness (presence/prevalence of null data)
• Correctness (data format/type, compared to expected content; conformance to data standards)

Data Forensics:

• Research and document all channels of data movement in current processes– API, direct connector, ETL script, export/import, manual re-entry, etc.
• Identify systems where data is created, read, updated and deleted
• Performance / latency requirements for downstream data consumers

Identify opportunities for improvement:

• Unnecessary replication of data
• Silo creation
• Use of incorrect data sources
• Process steps where data errors are introduced
• Human processes that need improved tooling support

Communicate with key stakeholders:

• Collaborate to understand business process and software strengths and shortcomings with respect to data
• Present data analysis findings
• Work with data modelers to document data detail

Qualifications

• Data profiling: use data profiling tools, SQL, simple visualizations to analyze and characterize data sets
• Data lineage: use data catalog tools, existing documentation and research to document data lineage
• Communicate data findings in business language
• 5 years experience in data analysis or business analysis with a strong data focus
• Experience with SAP preferred
• Experience with data profiling tools preferred
• Bachelor’s degree in Information Science or Computer Science preferred, or equivalent experience

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