Data Analyst

Rallyware’s mission is to provide every member of any distributed group with meaningful opportunities to feel connected, engaged, and valued within the overarching community to unlock their full potential. Rallyware’s Performance Enablement Platform delivers the right training and business activities to the right people at the right time in the right experience by connecting company-specific business goals with their workforce performance data. We believe in the power of every single employee leading a company to success, and we foster this power with the help of our highly scalable, data-driven mobile and web platforms. Rallyware is trusted by market-leading customers across the globe, including Samsung, Avon, Tupperware, Pampered Chef, and many others, to achieve higher sales, faster onboarding, increased adherence and participation in initiatives, stronger digital presence of corporate learning and development, more effective communication, and many other business objectives across a variety of industries, with a primary focus on direct selling.

Rallyware was founded at MIT in 2012 and is a graduate of Techstars Boston. The company is headquartered in Mountain View, CA, with the team distributed across the United States, Canada, Ukraine, Great Britain, Australia, Peru, and Argentina. We are a team of high-performing, responsible, and sociable people who enjoy being in the trenches of a high-growth startup and are dedicated to understanding customer problems and solving tough challenges together. Our people are proactive, conscientious, highly communicative, collaborative, and impactful; we place the team ahead of ourselves and strive to excel in cross-functional work to move the company forward.

Rallyware has recently acquired Myagi, a fully remote SaaS business on a mission to connect the world’s leading brands (Nike, Gibson, Casio, and Giant) with third-party sellers and their retail employers responsible for selling their products to consumers. Myagi enables these brands to build advocacy, collect valuable feedback, and ultimately drive sell-through and improve the customer experience.

We are currently seeking a Data Analyst with strong analytical skills and hands-on experience with SQL and BI tools to join our Data Analytics team. The ideal candidate is a self-starter who can analyze complex data sets, provide insights, and support decision-making across various departments.

Responsibilities

• Data Analysis & Reporting: Use SQL, Metabase, QuickSight, and GA to extract, analyze, and visualize data, creating insightful reports and dashboards. Acquire data from primary or secondary data sources (databases, data warehouses, data lakes, etc);
• Business Insights: Support the team by identifying trends, patterns, and opportunities within data sets, use data to correlate user behavior and performance results;
• Collaboration: Work closely with cross-functional teams, including product, marketing, and managers to support data needs and gather requirements for ad hoc analyses;
• Data Quality & Accuracy: Ensure the accuracy and reliability of data by validating and cleaning data as necessary;
• Automate recurring ad-hoc requests with Python and SQL to optimize data processes;
• Locate and define new process improvement opportunities;
• Document data processes and data flows.

Qualifications

• Proven 1+ years of experience as a Data Analyst;
• Experience with Google Sheets and various BI tools (preferably QuickSight and/or Metabase);
• Proficiency in SQL: complex queries, joins, aggregations;
• Experience with scripting languages (Python preferred);
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy;
• Ability to identify useful information in data sets and suggest conclusions that support decision-making;
• Good verbal and written communication skills with the ability to convey complex data insights to non-technical stakeholders;
• Willingness to make decisions and solve problems;
• Bachelor’s Degree in Mathematics, Statistics, Computer Science, Business and Economics or related field;
• Intermediate English, both written and spoken.

Bonus points for

• Knowledge of Google Analytics.

We offer

• People-oriented management without bureaucracy;
• Excellent compensation package;
• Flexible hours;
• 100% remote position;
• 18 working days of annual paid vacation;
• Paid sick leaves;
• Friendly and engaging professional team;
• Learning and development program;
• Accounting and legal support.