AR
Internship for AI in document processing at ArianeGroup, focusing on natural language processing and data analysis tasks in a collaborative environment.
About the role
- Head of Analytics leading teams to ensure effective and scalable reporting tools at Entrata. Collaborating with product, engineering, and business teams for operational excellence in reporting.
Responsibilities
- Manage the intake, prioritisation, and resolution of reporting feature requests and bugs.
- Collaborate cross-functionally to define and refine reporting requirements and acceptance criteria.
- Provide oversight on user acceptance testing (UAT) and ensure the quality and functionality of reporting deliverables.
- Supervise team members, provide guidance, and ensure alignment with departmental goals.
- Maintain internal and external documentation for reports and reporting frameworks.
- Drive initiatives to enhance the overall usability and user experience of the reporting suite, focusing on key areas like data integrity, report performance, and workflow automation.
- Leverage data on report usage, performance metrics, and development lifecycles to drive strategic decisions and continuous improvement for the entire reporting platform.
- Serve as a liaison between technical and non-technical stakeholders to translate business needs into reporting solutions.
- Help drive Quality initiatives by way of detailed test plans, test cases, and oversee UAT test and regression testing to prevent downstream issues.
- Own Bug Diagnosis and Resolution - Act as the first line of defence for incoming bugs. Lead technical diagnosis of new issues, document findings, and ensure their prioritisation and resolution adhere to company SLA policies.
- Facilitate all agile ceremonies in coordination with the engineering team.
- Lead the development, maintenance, and optimisation of client-facing standard reporting solutions at Entrata.
- Help define requirements for any customer-specific reports.
- Amplitude and Product usage reporting.
- Intersection of Suites Product Reporting and cross-product synergies.
- Marketing Analytics reporting.
- Help with internal reporting needs around R&D operations, product planning.
- FP&A Reporting support
Requirements
- Strong analytical skills and attention to detail.
- Experience managing reporting initiatives in a product or SaaS environment.
- Proficiency with SQL and reporting tools (e.g., Excel, Google Sheets)
- Effective verbal and written communication skills, including the ability to communicate with both technical and non-technical audiences
- Proven ability to lead teams and coordinate across functions in a fast-paced environment
Benefits
- Health insurance
- Paid time off
- Flexible working arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Scientist focused on Generative AI and LLM at Manulife. Develop and implement machine learning models to solve business problems and mentor peers.
Data Scientist specializing in AI and LLM technologies at F5, innovating security platforms through AI/ML development and collaboration.
Sr. Advanced Data Scientist leveraging advanced analytics and data science at Honeywell. Developing solutions for business growth and operational efficiency in the Atlanta office.
Data Scientist at Capital One leveraging technology to improve fraud prevention and customer safety. Collaborating with cross - functional teams to deliver industry - leading fraud defenses.
Data Scientist delivering insights for product and operations teams in Customer Support at Etsy. Using behavioral analysis to drive product development and strategy within a collaborative environment.
Data Scientist developing predictive models and enhancing investment strategies with AI at MDOTM. Collaborating in a dynamic research team to drive data - driven insights and innovative solutions.
Lead Data Scientist at Vizient developing automated analytics and advanced data science solutions. Collaborating with teams to improve clinical, operational, and economic outcomes.
Data Scientist developing analytic solutions and analyzing healthcare datasets for client decision - making. Collaborating with teams to build scalable analytics products and communicate insights.
Senior Data Scientist at Pinterest applying GenAI to build analytics solutions and data models. Collaborating across teams to improve data integration and pipeline management.