Driving the organization’s analytics strategy and overseeing the execution of key analytics initiatives is the focus of the Lead Data Analyst. This role provides both strategic leadership and hands-on expertise in developing data-driven solutions to support business decisions. The Lead Data Analyst manages analytics projects, defines methodologies, selects tools, and collaborates closely with stakeholders.
Work closely with leaders across product and marketing to support and implement high-quality, data-driven decisions as a Data Analyst on the Data & Insights team. Partner with stakeholders to understand their business needs and translate these needs into specific analyses with actionable insights. Conduct quantitative analysis of user behavior to uncover issues or opportunities to improve customer experience. Inform the product strategy via the outcomes of tests and experiments.
MedTrainer is looking for a highly skilled Director of Data that will be responsible for overseeing data management, integrity, and analysis across MedTrainer's systems, with a focus on ensuring accuracy and efficiency in financial and operational data. This role requires a strong understanding of enterprise systems, particularly NetSuite (ERP) and Salesforce (CRM), and the ability to translate high-level direction into actionable data strategies.
Voldex is looking for a Senior Data Analyst to join our high-impact data team, to go beyond reporting and uncover critical insights that shape the future of our games and influence millions of players. Partnering cross-functionally with Product, Game Design, and Marketing to drive game strategy, optimize the player experience, and deliver measurable improvements through experimentation; building data tools, and turning insights into action is key.
Train machine learning models for workout users and for internal business forecasting, design and analyze A/B tests, and extract causal insights from observational fitness data. Work with the Product team to help them ideate, design, and prioritize product improvements and understand user behavior. Work with Client and Server teams to launch experiments and ship product improvements.
Utilize your deep marketing expertise and advanced analytics skills to drive data-informed decision-making across the organization. This role is responsible for building insightful dashboards, delivering impactful reports, and conducting in-depth analyses to measure the effectiveness of campaigns and projects. Working closely with cross functional teams such as analytics engineering to ensure our data is available and actionable for analysis. A strong commercial mindset is essential.
This position is 60% customer/prospect facing and is the linchpin to our Go to Market practice as it pertains to Fullstory's data science and data analyst use cases. The role involves working with prospects to understand data needs, developing data ingestion and transformation processes, and building data models and dashboards. It also includes designing and maintaining end-to-end solutions built on top of Fullstory Anywhere for data utilization.
Conduct analysis and deep dives on ambiguous problems for our business, resulting in insights and recommendations that guide the team’s decision making. Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations. Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs.
We are looking for a proactive and analytical Data Analyst or Data Engineer who is eager to take on new challenges and think outside the box. The ideal candidate will have a strong foundation in SQL and data analytics, with additional experience in Python being a plus. Prior experience in the media or advertising industry is not required; we value curiosity and a willingness to learn.
This role involves designing, developing, and maintaining Tableau dashboards to drive reporting for Sales, Marketing, and Services. The ideal candidate will possess a strong technical background with experience in Tableau and SQL-based data environments. The successful candidate will excel at transforming complex data into actionable insights that drive strategic business decisions.