Data Analyst II

RS21; Albuquerque (NM); On-site; USD 72,000 - 98,000; Full time

Job summary

RS21 in Albuquerque, NM is seeking a Data Analyst II to support client engagements through analytic design, delivery, and visualization onsite.

You will design analytics across datasets, write code in Python or R, SQL queries, and publish dashboards using Tableau, Power BI, or Looker, while communicating insights to clients and ensuring data governance.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Economics, Data Science, or related field.
• 3–5 years of progressive data analysis or BI experience with independent delivery.
• Proficiency in SQL and at least one of Python or R for data manipulation and analysis.
• Advanced proficiency with Tableau, Power BI, or Looker, including dashboard publishing and governance.
• Strong grounding in applied statistics and ability to communicate findings to non-technical audiences.

Responsibilities

• Design and execute analytics projects across multi-source datasets end-to-end.
• Develop Python or R code for analysis, automation, and reporting with reproducibility.
• Publish production dashboards in Tableau/Power BI/Looker connecting to multiple sources.
• Communicate findings clearly to stakeholders through reports and presentations.
• Collaborate with data engineers and data scientists to align analytics with data assets.

Skills

SQL

Python

R

Tableau

Power BI

Looker

Confluence

ArcGIS

QGIS

AWS Redshift

Google BigQuery

Snowflake

AI productivity tools

Education

Bachelor’s degree in Statistics, Mathematics, Economics, Data Science, Public Policy, or a related quantitative field

Tools

Tableau

Power BI

Looker

Confluence

ArcGIS

QGIS

AWS Redshift

Google BigQuery

Snowflake

AI tools

Job description

Data Analyst II (onsite) role supporting client engagements through independent analytics design, delivery, and visualization.

Responsibilities

• Independently design and execute analytical projects across multi-source datasets, handling data extraction, transformation, quality assessment, and exploratory analysis without step-by-step direction.
• Develop clean, functional Python or R code for analysis, automation, and reporting, using version control, notebook documentation, and reproducibility practices.
• Write complex SQL queries independently, optimize performance, select query patterns appropriate to workload, and clearly communicate query logic in documentation and code review.
• Apply applied statistics to deliver technically sound and interpretively honest findings, including regression, significance testing, sampling methodology, and descriptive analysis with uncertainty awareness.
• Independently design and publish production dashboards in Tableau, Power BI, or equivalent tools, connecting to multiple data sources and applying visualization and UX principles while governing data model and access design.
• Create client-ready data narratives using storytelling and visualization frameworks; adjust depth, format, and framing for different client and stakeholder audiences.
• Use AI productivity tools to accelerate research, analysis, and reporting, applying judgment about when AI adds value and when it introduces risk.
• Use AI-assisted data preparation and pattern detection within established workflows, with critical validation of AI outputs before inclusion in client deliverables.
• Stay current on emerging AI-augmented analytical tools, share learnings with the analytics team, and help the practice identify where these tools add genuine value.
• Manage stakeholder relationships for assigned engagements: facilitate analytical meetings, communicate findings clearly, navigate competing interpretations, and keep stakeholders aligned on scope and timeline.
• Produce high-quality client reports, analytical briefings, and status updates tailored to audience needs and designed to support decision-making.
• Apply established data governance frameworks in client environments, documenting ownership, lineage, and metadata under the engagement lead’s direction.
• Anticipate evolving client analytical needs and proactively communicate concerns about scope, data quality, and methodological limitations before they become delivery risks.
• Independently validate analytical outputs for accuracy and reproducibility, and ensure appropriate handling of data limitations; document assumptions, caveats, and quality decisions clearly for reviewer trust and downstream usability.
• Maintain high-quality analytical documentation in Confluence or equivalent systems, structured so teammates unfamiliar with the engagement can understand what was analyzed and what it means.
• Contribute to reusable analytical templates, code libraries, and accelerators for common problem types.
• Provide structured support to junior analysts through coaching, code review, documentation, and pairing to build independent technical and communication habits.
• Collaborate with data engineers and data scientists to connect analytics to the right data assets and model outputs, understanding the end-to-end data flow to design analysis appropriately.
• Work with project managers to keep analytical delivery aligned with client expectations and contractual constraints, surfacing scope and timeline risks early for leadership action.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Economics, Data Science, Public Policy, or a related quantitative field.
• 3 to 5 years of progressive experience in data analysis or business intelligence, including independent delivery from problem definition through client presentation.
• Proficiency in SQL and at least one analytical language: Python or R, including libraries for data manipulation, statistical analysis, and visualization.
• Advanced proficiency with Tableau, Power BI, Looker, or equivalent BI platforms, including independent dashboard design, publishing, and governance.
• Strong grounding in applied statistics: regression, hypothesis testing, sampling methodology, and uncertainty quantification.
• Proven ability to communicate analytical findings clearly to non-technical stakeholders via written reports and live presentations.
• Experience managing stakeholder relationships and delivering analytical work independently across client engagements.

Technologies

• Python, R, SQL
• Tableau, Power BI, Looker
• Confluence
• ArcGIS, QGIS
• AWS Redshift, Google BigQuery, Snowflake
• AI productivity tools, AI-augmented analytical tools

Preferred

• Geospatial analysis experience with ArcGIS, QGIS, or Python-based spatial libraries.
• Background in advanced analytics, program evaluation, or government data environments.
• Familiarity with longitudinal data, panel data methods, or quasi-experimental evaluation designs.
• Basic understanding of cloud data platforms including AWS Redshift, Google BigQuery, or Snowflake.
• Consulting or multi-client delivery experience with high analytical standards and client communication expectations.
• Familiarity with AI-augmented analytics tooling and responsible approaches to integrating generative AI into analytical workflows.

Location and Compensation

• Location: Albuquerque, NM (onsite)
• Salary: USD 72,000 - 98,000 per year
• Minimum experience: 3 years