DATA ANALYST

360 IT Professionals; Dallas (TX); On-site; USD 70,000 - 90,000; Full time

Job summary

A leading IT solutions firm in Dallas is seeking a Data Analyst with a strong analytics background to support Corporate Sales Reporting. The ideal candidate will partner with business teams to drive data-driven insights. Requirements include a relevant Bachelor's degree, experience with large datasets, and strong communication skills. Familiarity with SQL and statistical tools is essential. This role provides the opportunity to work with top clients and translate data into actionable strategies.

Qualifications

• Bachelor's degree in a quantitative field such as statistics or engineering.
• Passionate about data analytics, strong strategic and critical thinking.
• Experience with large datasets and reporting tools.

Responsibilities

• Partner with operational business stakeholders to solve business problems.
• Extract data from multiple sources for analysis and reporting.
• Communicate frequently with business stakeholders and technology teams.

Skills

Data analysis

Problem-solving

Stakeholder management

Communication

SQL

Statistical analysis

Data visualization

Education

Bachelor's degree in statistics, engineering, business analytics, or related

Tools

R

SQL

Tableau

SPSS

Job description

360 IT Professionals is leading name in the software development industry, bring innovative business solutions to clients in Silicon Valley. We are always looking forward to bring aboard IT professionals and help them build a career in the IT Industry by providing the opportunity to work with our top clients in US.

Job Description

A Data Analyst with strong Analytics background to support Corporate Sales Reporting and Analytics needs. The Data Analyst will partner with business and operations technology teams to define and execute data analytics initiatives that help executive leadership gain buy-in on the investments made, create sustainable revenue and growth. Data Analyst will be responsible for driving data driven insights from operational data (booked, flown, contract and sales team metrics from Salesforce, Customer data including segmentation and other marketing elements, potentially forecasting information from Corp Sales and Revenue Management, etc.) This role requires business intuition, project management experience, and a working knowledge of analytical tools.

• Partners with operational business stakeholders to identify key initiatives and execute solutions to business problems using data analysis and advanced analytics
• Extracts data from a variety of sources for use in analysis, models and project development; completes ad-hoc reporting and data analysis
• Communicates and coordinates frequently with business stakeholders and technology teams
• Develops and validates evaluation metrics, KPIs, Targets, Reports and models to analyze business performance and areas of opportunity

Qualifications

Requirements:

• Bachelor's degree in quantitative field (statistics, engineering, business analytics, computer science, information systems or related degree)
• Passionate about data analytics, strong strategic and critical thinking, problem-solving skills
• Experience working with large datasets and reporting or visualization tools, ability to tell a story using data
• Experience with Airline Corporate Sales and operations
• Ability to proactively manage stakeholder expectations on current and future business needs
• Ability to communicate complex quantitative concepts in a clear, precise and actionable manner
• Familiarity with database interface tools, SQL and programming concepts
• Experience with statistical tools and concepts (R, SPSS, SAS)

Preferred skill set:

• Experience with Oracle/Exadata, Teradata, AWS Redshift/Hadoop, Splice open source data platforms
• Experience with Business Objects-Crystal Reports or Ab Initio for reporting
• Experience with Tableau, Spotfire, Alteryx or other visualization tools
• Experience with statistical analysis and modeling including linear regression, segmentation, non-linear predictive (e.g. logistic) regression and machine learning

Additional Information

All your information will be kept confidential according to EEO guidelines.