Civic Data Analyst (Sustainable Mobility)

Department: Planning Location: Los Angeles, CA Compensation: $70,000 - $88,000 / year About Alta Alta is a mission-driven company working to mitigate climate change and advance safety and social justice by shaping sustainable, people-centered communities. We bring together expertise across planning, design, engineering, education, and community engagement to help communities thrive. Our work is grounded in the belief that how places are designed and experienced has a profound impact on equity, health, and opportunity—and that people should always be at the heart of those decisions. Founded in 1996, Alta was at the forefront of the active transportation movement and has spent nearly 30 years partnering with communities to imagine a more connected, resilient, and inclusive future. Today, with more than 225 staff across the United States and beyond, we are a global leader in creating environments that support everyday life, strengthen human connection, and respond to the challenges of a changing world. Alta offers the opportunity to collaborate across disciplines, contribute to meaningful work at every scale, and be part of a team committed to making lasting, positive change for people and the places they call home. Day to Day Serve as a technical expert and analyst across various disciplines, project types, and regions. Develop prototypes of repeatable analysis in R, Python, and GIS to advance place-based sustainable transportation solutions. Over time, foster an entrepreneurial approach to analysis through staff training, research, tool development, and custom web applications. Engage across Alta’s disciplines to understand data analytics needs, priorities, and expectations, fostering a data-informed decision-making culture. Lead the development of new analytical products that align with the firm's objectives and the multidisciplinary nature of the practice. Collaborate closely with planners, designers, and engineers in tasks related to data analysis and visualization, ensuring the developed solutions bring valuable mobility insights and can scale organization wide. Delve into data analysis and visualization components of client projects and R&D efforts, employing complex methodologies. Address mobility and access challenges through innovative analytical solutions, and articulate data-driven narratives effectively through reports, technical memos, and presentations. Be proactive in identifying labor-intensive processes and analysis, exploring avenues to streamline and automate them to create organization-wide value. Work on a range of projects including active transportation plans, safety action plans, complete streets planning, safe routes to school, new mobility plans, and economic benefit studies. Each day, you will keep a community-focused perspective by pushing forward solutions that help communities inform narratives about people, address multifaceted community goals, prepare communities for change, and build a more just transportation system. Qualifications Required Bachelor’s Degree in Statistics, Mathematics, Computer Science or another quantitative field with demonstrated experience in the transportation planning field, OR a Bachelor’s Degree in Planning, Landscape Architecture, Environmental Sciences, or Engineering with some experience in the software development and/or data science fields. Proficiency in Python and/or R, SQL Proficiency in Quantitative Analysis: A solid background in data analysis, cross tabulation, and data interpretation is essential. Candidates should be able to apply data driven techniques to inform evidence-based decision-making in planning and design contexts. Strong understanding of databases, GIS, coding, and familiarity with transportation planning at an advanced level. GIS proficiency - both open-source (PostGIS, QGIS, geopandas, etc.) and the ESRI suite (ArcGISPro, Spatial Analyst, Network Analyst, etc.). Ability to create informative data visualizations through code (e.g. D3, ggplot, matplotlib, plotly, kepler.gl, etc.). Experience designing, implementing, and documenting analytical solutions using code. Ability to execute an analysis entirely with code. Data specifications & database acronyms like OSM, MDS, GTFS, GBFS, GPS, CDS don’t scare you. Proficient in MS Excel, Word, PowerPoint, similar products. Strong written and verbal communication skills. Preferred Master’s Degree in Urban Planning, Statistics, Data Science, Engineering, Math, or Social Sciences 1+ years of experience in a consulting environment or public entity. You have experience working on responses to public sector requests for proposals. AICP Certification. Experience using Deltek VantagePoint. Active participation in industry-relevant professional associations and committees. Demonstrated work of applied statistics or machine learning techniques to transportation challenges. Basic familiarity with deploying analytical solutions over the web with the use of Flask, Django, Fast-API, Tableau, PowerBI, ArcGIS Enterprise, or R-Shiny. What We Offer Flexible Schedule Alta offers a flexible, hybrid work schedule where most employees work from home three days per week. In-office days support our collaborative culture, one of our core values. Compensation The pay range for this job in Los Angeles is $70,000-$88,000 annually. Placement within the range is based upon experience, skill-sets, and qualifications. Benefits Medical: PPO or HSA medical plans, Alta pays 75% of the cost Dental/Vision: PPO, Alta pays 90% of the cost Life Insurance: Alta pays 100% of the premium for life and AD&D, equal to your base compensation 401(k): Alta provides a match up to 3% PTO: 21 days accrued annually to start Holidays: 11 total company paid holidays Paid Parental Leave/Short-Term Disability Additional Benefits: Wellness reimbursement up to $800 annually, Alta Gets Around benefit of up to $900 annually, 5-year travel award, and professional development opportunities Alta propels not just engineering imperatives but inclusive progress, encouraging mandates toward smarter initiatives for people and their community engagement. #J-18808-Ljbffr