Data Analyst - Streaming Analytics

Straive is a global leader in enterprise-grade data analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit.

Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations. We specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, retail and logistics, helping them build robust data analytics and AI capabilities.

With a client base spanning 30 countries, Straive's strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective.

Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT.

Job Title: Data Analyst - Streaming Analytics

Job Location: USA (Remote)

Type: FTE

About the role:

We are seeking a highly motivated and skilled Streaming Data Analyst to join our dynamic team and play a pivotal role in generating immediate, data-driven insights that fuel critical business decisions and optimize performance. Leverage your expert SQL skills, robust analytical capabilities, and exceptional communication to transform business needs into practical data analyses and effectively present your findings to stakeholders. This is an exciting opportunity to innovate with leading-edge streaming technologies and directly influence our business success.

Roles and Responsibilities:

• Business Question Translation: Collaborate closely with stakeholders to understand their core business questions and translate them into clear and concise data analysis plans.
• Project Planning: Create detailed, step-by-step project plans for streaming data analysis initiatives, ensuring timely and accurate delivery of insights.
• Real-time Data Analysis: Design, develop, and execute efficient SQL queries against streaming data platforms to extract, manipulate, and aggregate data in real-time.
• Customer-Centric Analysis: Apply customer analytics and/or marketing analytics techniques to streaming data to identify trends, segment customers, and drive business performance.
• Statistical Modeling (Python): Apply hands-on experience in building statistical models in Python to analyze streaming data and uncover predictive insights.
• Problem Solving: Proactively identify and resolve challenges related to streaming data, processing, and analysis with quick and clever solutions.
• Deliverable Design: Define the output deliverable, including the format and key metrics, and design the necessary data structure to effectively answer business questions.
• Insight Presentation: Develop and deliver compelling presentations to stakeholders, clearly articulating key findings and actionable recommendations.
• Data Storytelling: Craft clear and impactful presentation decks using appropriate data visualizations (e.g., Tableau, Excel) and formatting to highlight critical takeaways from streaming data.
• End-to-End Analysis Execution: Own the complete data analysis lifecycle for streaming data, from gathering stakeholder needs and writing SQL queries to summarizing real-time data, creating presentations, and presenting findings.

Required Skill Sets:

• Expert in SQL, Python
• Expert in deriving actionable and impactful business insights
• Experience in AWS, Redshift
• Must have prior experience in streaming analytics
• Good to have customer analytics/marketing analytics experience.

Preferred Qualifications:

• Degree in Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
• 4+ years as a data analyst and 2+ years as streaming data analyst

This job description is not intended to cover or contain a comprehensive listing of all responsibilities, duties, or activities that are required. Responsibilities, duties, and/or activities may change, or new ones may be added at any time with or without notice.

If you are a motivated professional with a passion for delivering impactful solutions, we’d love to hear from you. Apply today to be part of a dynamic and forward-thinking team at Straive.

“Straive is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation.

We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.”