3 User Analytics Jobs

We are looking for a Product Manager to join our Product & Technology Team at Procore. Our software solutions are designed to enhance the construction industry, and our team is dedicated to driving innovation on a global scale. As a Product Manager, you will play a key role in leading initiatives for the Asset Management solution at Procore, focusing on developing core capabilities for global markets. Your main objective will be to drive growth and retention within the Asset Management solution, specifically targeting the Owners segment. Leveraging customer insights, industry knowledge, competitive analysis, and internal expertise, you will contribute to achieving positive customer and business outcomes. Collaboration is essential in this role, as you will work closely with cross-functional teams of Product Managers, Engineers, and UX Designers to deliver the right solutions for our customers. Additionally, you will collaborate with go-to-market teams to ensure effective internal and external release communications, aligning with roadmap priorities and maintaining clear communication with stakeholders. Reporting to the Director, Product Management and based in our Pune, India office, we are looking for someone to join us immediately. If you are passionate about driving strategic alignment, owning the roadmap, driving backlog execution, managing communications, and overseeing the product lifecycle, we encourage you to apply to join our team of Groundbreakers. Key Responsibilities: - Drive strategic alignment within cross-functional teams - Own outcomes-driven product roadmaps in close alignment with stakeholders - Write product briefs, user stories, and collaborate with Product, UX, and Engineering teams - Communicate progress and risks associated with product development - Manage the end-to-end product lifecycle from Requirements Discovery to General Availability Qualifications: - 5+ years of product management experience in SaaS, B2B, or enterprise software - Customer-centric approach and experience collaborating with large enterprise companies - Proven success in managing the end-to-end product lifecycle and driving adoption - Strong data-driven decision-making skills and experience in user analytics - Experience working in an agile environment with engineering and design teams - Exceptional problem-solving skills and ability to balance short-term execution with long-term strategy - Excellent communication and stakeholder management skills - Bonus: Experience in Construction Technology or Enterprise Asset Management solution Join us at Procore and explore a range of benefits and perks designed to support your growth and development. Learn more about our culture and how we empower our employees to excel. If you are excited about the opportunity to contribute to the software that builds the world, apply today and be part of our dynamic team. Note: Alternative methods of applying for employment are available for individuals with disabilities. Contact our benefits team for more information on reasonable accommodations.,

The team member is expected to work directly with the client in a fast-paced working environment to address their day-to-day analytics needs. You will need to address business problems by incorporating the business context to design and develop solutions that leverage statistical & advanced analytics methodologies. You should be able to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Your responsibilities will also include building efficiencies through standardization and automation. The indicative areas of work could be Digital Analytics - Implementing, auditing, and leveraging GA4 to measure and enhance product usage. Utilizing GTM to track custom events and visualizing data through Looker Studio via BigQuery. User Analytics - Understanding user behavior in the app, feature adoption, understanding retention and churn drivers, transaction behavior across features, offer and scratch card redemption, impact of email and notifications. Marketing measurement - Evaluating the effectiveness of marketing campaigns through channels like ATL and performance media. If you enjoy wild growth and working with happy, enthusiastic over-achievers, you'll find your career fulfilling with us. If this opportunity is not the right fit for you, you can express your interest in future opportunities by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts for new job postings that align with your interests.,

Data Engineer/Analyst Location- Jaipur/Indore Notice- Immediate joiners only Basic Responsibilities (Must-Haves): 5+ years of experience in dashboard story development, dashboard creation, and data engineering pipelines . Hands-on experience with log analytics, user engagement metrics, and product performance metrics . Ability to identify patterns, trends, and anomalies in log data to generate actionable insights for product enhancements and feature optimization . Collaborate with cross-functional teams to gather business requirements and translate them into functional and technical specifications. Manage and organize large volumes of application log data using Google Big Query . Design and develop interactive dashboards to visualize key metrics and insights using any of the tool like Tableau Power BI , or ThoughtSpot AI . Create intuitive, impactful visualizations to communicate findings to teams including customer success and leadership. Ensure data integrity, consistency, and accessibility for analytical purposes. Analyse application logs to extract metrics and statistics related to product performance, customer behaviour, and user sentiment . Work closely with product teams to understand log data generated by Python-based applications . Collaborate with stakeholders to define key performance indicators (KPIs) and success metrics. Can optimize data pipelines and storage in Big Query . Strong communication and teamwork skills . Ability to learn quickly and adapt to new technologies. Excellent problem-solving skills . Preferred Responsibilities (Nice-to-Haves): Knowledge of Generative AI (GenAI) and LLM-based solutions . Experience in designing and developing dashboards using ThoughtSpot AI . Good exposure to Google Cloud Platform (GCP) . Data engineering experience with modern data warehouse architectures . Additional Responsibilities: Participate in the development of proof-of-concepts (POCs) and pilot projects. Ability to articulate ideas and points of view clearly to the team. Take ownership of data analytics and data engineering solutions . Additional Nice-to-Haves: Experience working with large datasets and distributed data processing tools such as Apache Spark or Hadoop . Familiarity with Agile development methodologies and version control systems like Git . Familiarity with ETL tools such as Informatica or Azure Data Factory