Sr. Data Analyst - Houston, TX

Houston, TX, United States

S&B Engineers and Constructors

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OVERVIEW

This individual will develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.  They will also process and design reports, dashboards, and other visualizations in an easily digestible way that provides insights to senior management and business leaders in support of decision-making efforts.  The Sr. Data Analyst must be extremely detail oriented in order to ensure the quality and accuracy of the data.  Excellent written and verbal communication skills are necessary as they will interface and collaborate with the business and information technology.

SUPERVISORY RESPONSIBILITIES

 

None

 

EDUCATION

 

Bachelor’s Degree in appropriate field of study or equivalent experience

 

QUALIFICATIONS AND EXPERIENCE

 

  • Requires a minimum of 5-7 years experience in data analysis/data engineering.
  • Experience with modelling and data engineering tools tolls and platforms such as Kafka, Spark, and Hadoop.
  • You have built large-scale data pipelines and data-centric applications within Azure, AWS, or similar platforms.
  • A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
  • Ability to build and optimize data sets, ‘big data’ data pipelines and architectures
  • Experience with data visualization software (Power BI preferred)
  • Proficient with querying languages such as SQL and DAX
  • Proficient with programming languages such as Python
  • Detail oriented with strong analytical skills
  • Organization and strong time-management skills
  • Strong mathematical skills to help collect, measure, organize and analyze data
  • Proven ability to problem solve and work well under pressure.
  • Excellent interpersonal, communication, listening and presentation skills
  • The ability to work both as a team and independently
  • In-depth knowledge of business work processe
  • Must be familiar with standard concepts, practices, and procedures within the engineering, procurement and construction industry.

TYPICAL DUTIES AND RESPONSIBILITIES

 

  • Develop and manage business intelligence solutions for the organization.
  • Transform data into insight that can help to improve the value of the business.
  • Leverage various continuous delivery practices deploy, support, and operate data pipelines.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
  • Provide reports through office applications to improve business processes.
  • Collaborate with team members for the purpose of collecting data and executing the company’s mission.
  • Create and maintain documentation that includes the design, requirements and user manuals for the organization.
  • Create reports for internal teams and/or external clients.
  • Collaborate with team members to collect and analyze data.
  • Use graphs, infographics and other methods to visualize data.
  • Establish KPIs to measure the effectiveness of business decisions.
  • Structure large data sets to find usable information.
  • Work with a team of analysts and other associates to process information.
  • Create presentations and reports based on recommendations and findings.
  • Contribute to data visualizations and reporting and communicate clearly to technical and non-technical audiences.
  • Identify, analyze, and interpret trends or patterns in complex data sets.

LANGUAGE SKILLS

 

Ability to read, analyze and interpret general business periodicals, professional journals, and technical systems documentation.  Job success often hinges upon interpersonal communication and relationship development skills, and job tasks require frequent interchange and successful completion depends in large part upon effective interaction and communication with others.

 

MATHEMATICAL SKILLS

 

Basic mathematical and algebraic equations required.

 

PHYSICAL DEMANDS

 

Occasionally, will conduct or participate in a field trip to operating plants, construction sites or other office complexes.  This requires the ability to stand, walk, clear close and distance vision, depth perception and the ability to focus.

 

WORK ENVIRONMENT

 

Normal work environment will be a business office with moderate noise.  Occasionally, will conduct or participate in a field trip to operating plants, construction sites or other office complexes.  This may require exposure to outdoor weather conditions, loud noises, work near moving mechanical parts, electrical energy, construction equipment, vibration, fumes, chemicals, and airborne particles.

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Architecture AWS Azure Big Data Business Intelligence Data analysis Data pipelines Data visualization Engineering Hadoop Kafka KPIs Pipelines Power BI Python Spark SQL

Region: North America
Country: United States

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