Data Analyst V at SGS Consulting Remote

SGS Consulting; California; Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Remote work

Job summary

SGS Consulting is seeking a Data Analyst V for a remote, US-based role. You will apply advanced analytics, build interactive visualizations, and partner with cross-functional teams to drive growth.

You will execute data-driven strategies, define success metrics, and ensure data quality for measurement and actionable insights. Strong communication across time zones is essential.

Qualifications

• Degree in Business Analytics, Engineering, or related field.
• 5+ years of work experience in an analyst role.

Responsibilities

• Apply quantitative and statistical analysis to identify trends and growth opportunities.
• Design high-performance visualizations for clear narrative and exploration.
• Lead data-informed initiatives and shape team direction.
• Investigate large and complex data sets to derive insights.
• Partner with PMs, Data Science, and Product teams to solve problems at scale.
• Inform and execute new strategies using analysis and impact metrics.
• Define success metrics for goals and projects.
• Highlight data quality and opportunities for better performance.
• Handle relational and non-relational databases and BI development.
• Develop data solutions to support leadership in decisions.
• Draw conclusions from structured and unstructured data to inform decisions.

Skills

SQL

Python

Excel/Google Sheets

Statistics

Data storytelling

Cross-functional collaboration

Communication

Education

Degree in Business Analytics, Engineering, or related field

Job description

Data Analyst V job at SGS Consulting. Remote.

Job Responsibilities:

• Apply expertise in quantitative analysis and statistical analysis to formulate deep-level insights that help identify trends &; opportunities to drive growth of our business, and measure impact.
• Designs interconnected collections of high-performance visualizations that enable clear narrative understanding as well as deeper, interactive exploration.
• Be a thought leader for data-informed initiatives and contribute to the team’s direction overall.
• Conduct in-depth investigations by leveraging large and complex data sets.
• Partner with Project Managers, Data Science, Product teams to solve problems at scale.
• Inform, influence, and execute new strategies and tactics using analysis and impact metrics.
• Determines success metrics that measure short and long-term progress for both goal and project performance.
• Build narrative around data quality and provide insights that will help in better annotation project performance opportunities.
• Handle relational and non- relational databases, data frames and/or Business Intelligence development, performing data transformations and data manipulation.
• Design and develop data solutions that help the team and leadership make data driven analytical decisions tailored to improve the business.
• Leverage appropriate analytical techniques to draw conclusions from structured and unstructured data and answer exploratory and hypothesis-based questions that inform data-driven decisions.

Skills:

• Database querying language(SQL) and programming language (Python) for data processing, data analysis and analytics
• Advanced Excel / Google Sheet experience
• Perform quantitative and statistical analysis using advanced methodologies, including linear and logistic regression and forecasting models
• Strong communication skills and ability to build relationships and influence stakeholders across functional boundaries and globally
• Ability to make judgments under tight deadlines and competing priorities
• Experience driving collaboration of cross-functional teams, coordinating effectively, and inspiring others
• Experience communicating effectively via various formats, time zones and audiences, including within operations teams and across with key stakeholders and senior leadership

Education/Experience:

• Degree in Business Analytics, Engineering, or a related field and 5+ years of work experience in an analyst role.