iSeatz · 4 hours ago
Senior Data Analyst
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Responsibilities
Collaborate with the client delivery excellence team and internal departments (Product, Marketing, Engineering, Client Services) to ensure data-driven decisions align with both iSeatz’s and the client’s business strategies.
Serve as the main data liaison between iSeatz, the client, and relevant stakeholders, presenting findings and recommendations to leadership teams in a clear and impactful manner.
Be the primary point of contact for executives, facilitating seamless communication and delivery of insights, including preparation and presentation of content in quarterly business reviews.
Skillfully prioritize and manage competing projects in a fast-paced environment, ensuring clear communication and alignment between internal and external stakeholders. Anticipate and address shifting priorities, while maintaining focus on both business objectives and client satisfaction.
Collect, clean, and analyze large datasets from multiple sources to identify key trends and actionable insights.
Develop, maintain, and enhance dashboards and reports using tools such as Tableau to track business performance.
Utilize SQL, Python, and other tools for advanced data analysis, providing strategic recommendations based on insights.
Contribute to data governance initiatives, ensuring data integrity, security, and privacy standards are upheld.
Support the broader iSeatz data strategy, aligning client-specific projects with the company’s long-term data objectives.
Provide mentorship and technical guidance to junior analysts, ensuring consistent development of analytical skills within the team.
Continuously seek opportunities to improve data processes and reporting, driving operational efficiencies across the organization.
Qualification
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Required
5+ years of experience in data analytics, business intelligence, or a related field, with proven experience supporting large-scale financial institutions or complex, enterprise-level organizations.
Expertise in data visualization tools (e.g., Tableau, Power BI, Looker) and advanced SQL skills, with proficiency in Python for data manipulation and analysis.
Experience with cloud data warehouses (e.g., Snowflake, Redshift) and a solid understanding of data governance, security, and privacy best practices.
Strong analytical and problem-solving skills, with a focus on delivering actionable insights and maintaining attention to detail across multiple projects in dynamic environments with competing deadlines.
Excellent communication and interpersonal skills, with the ability to present complex data insights effectively to both technical and non-technical audiences, including executives.
Demonstrated ability to collaborate across teams, manage client relationships, and adapt communication style to diverse audiences and settings.
A strong sense of professionalism when working with clients, particularly large-scale financial institutions, balanced with the ability to embrace and thrive in iSeatz's unique, innovative team culture.
Preferred
Familiarity with machine learning techniques or advanced statistical analysis; e.g. time series forecasting, anomaly detection.
Prior experience working with large clients in a B2B environment, particularly in tech, banking, or travel sectors.
Exposure to ETL processes and data pipeline management.
Experience with Adobe Analytics and reporting.
Company
iSeatz
One of the most powerful booking engines for ancillary travel products in the market today.
H1B Sponsorship
iSeatz has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (5)
2021 (1)
2020 (1)
Funding
Current Stage
Growth StageLeadership Team
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