Role Description Join Summus, where we’re not just innovating, we’re revolutionizing the health journey! We’re on the lookout for outstanding, authentic, and accountable humans to join our dynamic team at Summus in the role of Data Analyst within our Operations department. As the Data Analyst at Summus, you will help drive the expansion of a transformational way to access expertise in medicine globally. You will directly support cross-functional teams and C-suite initiatives to guide evidence-based decisions regarding the delivery of services to our clients and members. A background in healthcare is not required, but a desire to be part of our mission and excitement to innovate how specialty healthcare is accessed are essential. This is a remote position; however, if you are located in the NYC area, you will have the opportunity for a hybrid working schedule. In this role you will: - Excel in a fast-paced, entrepreneurial, and challenging environment - Work across various facets of our business, including clinical outcomes, operational objectives, marketing, and sales needs - Understand and deploy creative solutions to support Summus leadership in reporting outcomes and strategic business decisions - Design methods and utilize tools required for data capture and reporting - Collaborate with team members across disciplines Qualifications - Minimum 2-3 years of professional experience, with a focus specifically in data analytics - Strong SQL and Python skills, experience with AI is a plus - Strong interest in the power of data and metrics for informing clinical and administrative operations in developing a successful business that impacts health outcomes - Desire to understand and contribute to product marketing, sales, and technology - Superior communication (oral and written) and interpersonal skills - High emotional quotient and comfort dealing with health-related topics - Ability to work responsibly, both independently and collaboratively as needs warrant in a fast-paced environment - Impeccable attention to detail and strong problem-solving skills - Receptive to close coaching and feedback - Bachelor's degree or higher - Background in healthcare a plus, but not required Requirements - Work closely with the leadership team to further develop data strategy with ongoing iteration - Work collaboratively to identify and implement data strategies prior to the roll out of new products and service offerings - Create enhancements to our technology platform and online experience in concert with our Engineering team - Manage relationships with vendors involved in the Summus data strategy - Collaborate with Member Experience on member engagement and strategic account plans - Work with stakeholders across Commercial, Member Experience, Client Success, and other internal stakeholders to deliver on project needs to maximize commercial outcomes with employer and individual clients Benefits - Medical, dental, and vision insurance for you and your dependents - 401(k) with company match (Traditional & Roth) - Company-paid life, AD&D, and disability coverage - Optional supplemental life insurance - FSA and HSA options - Paid parental leave for all caregivers - Complimentary access to the Summus platform for you and your loved ones - Unlimited PTO + paid holidays, sick time, bereavement, and a Volunteer Day Off - Flexible, team-first culture with remote or hybrid work depending on role

Role Description This role is 100% remote, and can be based anywhere on the West Coast of the USA up to and including Mountain Time. We're hiring a Data Analyst to help answer the questions that matter most to Buildkite's growth. This role will work directly with Product, Engineering, Marketing, Finance and Sales leadership to turn data into insights and decisions. This is a high-impact role for someone who's comfortable going deep on data but equally comfortable presenting findings to non-technical stakeholders and influencing product strategy. What You’ll Do - Partner with product managers to define metrics, success criteria, and instrumentation requirements for customer onboarding and engagement, new features, and experiments. - Collaborate with Data team colleagues to build and evolve data models, and ensure they are optimised for self service querying. - Build and maintain dashboards and reports that give the team clear, reliable visibility into product health and user behaviour. - Conduct ad hoc analysis to answer specific product questions – conversion funnels, retention curves, feature adoption, cohort behaviour, and more. - Design and analyse A/B tests and feature experiments, from hypothesis through to recommendation. - Identify trends, anomalies, and opportunities in product data that the team wouldn't otherwise see. - Work with engineering to ensure event tracking and data pipelines are instrumented correctly and completely. - Translate analytical findings into clear narratives and actionable recommendations for a range of audiences. - Get involved in customer research and feedback loops to understand product needs. - Stay curious and continually improve your technical skills and knowledge. Qualifications - Good communication skills, with empathy and kindness when collaborating with others. - Understanding of technical trade-offs and willingness to learn from peers when making decisions. - Familiarity with modern development workflows, CI/CD concepts, and developer tooling. - Comfortable working in a distributed, remote-first team environment. - Growth mindset, willingness to learn from feedback, collaboration, and mentoring opportunities. - 2–4 years of experience in a data analyst, product analyst, or similar role, ideally at a SaaS company. - Strong SQL skills – you should be comfortable writing complex queries across large datasets. - Experience with a BI or visualisation tool such as Metabase, Looker, Tableau, or similar. - Experience with product analytics platforms like Posthog, Mixpanel, or Google Analytics. - Solid understanding of product analytics concepts: funnels, retention, LTV, activation, churn, and engagement metrics. - Familiarity with experimentation methodology – statistical significance, confidence intervals, experiment design. - A genuine curiosity about product – you want to understand why users behave the way they do, not just what they're doing. Requirements - Experience with Python, R and Jupyter notebooks for analysis and data manipulation. - Experience with AI for data analytics. - Experience designing and training machine learning models. - Familiarity with data warehouse environments (Athena, Clickhouse, dbt, Iceberg, Snowflake, Databricks). - Familiarity with event streaming and processing (Kafka, Flink, PySpark, Airbyte). Benefits - Competitive compensation, including salary, equity, and benefits package. - Flexible, remote-first culture. - Opportunities for growth, mentoring, and career development. - Collaborate with talented, supportive engineers solving meaningful problems. - A collaborative, inclusive, and innovative culture where your ideas make a real impact. Equal Opportunity Employer At Buildkite, we value diversity and celebrate all types of skills, backgrounds, and experiences. We’re dedicated to fostering an inclusive environment and providing reasonable accommodations throughout our recruitment process. If you need any accommodations or support during the application or interview process, please reach out to us at accommodations@buildkite.com.

• Own experimentation analytics. Design, monitor and interpret A/B and multivariate tests across Product and Marketing • Partner with Product Managers and Marketing leads to prioritize experiments using frameworks like ICE or PIE • Translate experimental results into business recommendations • Collaborate with engineering to ensure consistent event tracking and instrumentation design • Develop internal experimentation frameworks. Build dbt models and dashboards that automate experiment tracking, power statistical analyses, and improve interpretability. • Mentor analysts: guide the team in best practices for causal inference, power analysis, metric selection, and communicating uncertainty. • Improve data infrastructure: maintain and improve dbt models, metrics definitions, and self-serve data assets. • Develop descriptive reporting dashboards across Product, Merchandising, and other teams • Dive into complex SQL and break down problems • Identify areas of opportunity to move from descriptive to predictive analytics, and ad-hoc to self-serve reporting • Maintain analytics roadmap to prioritize initiatives, communicate timelines, and ensure successful, timely completion of deliverables

Role Description We at Coforge are hiring a Senior IT Finance Analyst (#21762) with the following skill set. - Produce executive-ready financial summary reports and presentations for leadership on monthly and quarterly cadence. - Develop dashboards and recurring reports to provide visibility into IT spend and financial positioning. - Support ad hoc financial analysis for strategic decision-making including vendor consolidation, build vs buy, and license optimization. - Partner with Procurement to ensure accurate coding of IT purchase orders, SOWs, and invoices for correct financial attribution. - Identify and resolve data quality issues in financial systems including cost centers, project codes, and misclassified expenses. - Contribute to improvements in financial governance, demand intake, and control processes. Qualifications - 3–5 years of experience in IT financial analysis, FP&A, or business analysis with financial reporting responsibilities. - Strong ability to translate complex budget data into clear executive-level insights and variance analysis. - Experience in vendor analysis, rate benchmarking, or commercial financial evaluation. - Strong Excel skills including financial modeling, pivot tables, and reporting. - Ability to work across Finance, Procurement, IT, and external vendors. - Strong communication skills with experience presenting financial insights. Requirements - Experience in professional services or consulting environments. - Familiarity with ERP systems such as SAP or ServiceNow. - Experience with financial dashboards using Power BI, Tableau, or similar tools. - Understanding of IT cost structures (CAPEX vs OPEX) and IT project lifecycle. Company Description At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.