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🔥 Financial Analyst

Posted 23 minutes ago

📍 AL, AR, AZ, CA (exempt only), CO, CT, FL, GA, ID, IL, IN, IA, KS, KY, MA, ME, MD, MI, MN, MO, MT, NC, NE, NJ, NM, NV, NY, OH, OK, OR, PA, SC, SD, TN, TX, UT, VT, VA, WA, and WI

🧭 Full-Time

🔍 Insurance

🏢 Company: Kin Insurance

🔧 Requirements

2+ years of work experience in Finance/FP&A function
Four-year degree, with a concentration in Accounting, Finance, Economics, or a similarly analytical area
Advanced proficiency in financial modeling and Microsoft Excel required
Experience with Financial and ERP systems, such as Workday Financials and Adaptive
Knowledge of GAAP and basic accounting practices; statutory accounting knowledge is not required but a plus
Working knowledge of SQL, Looker, or other data management and reporting tools preferred

💡 Responsibilities

Build and regularly update operating models and financial forecasts, set annual budgets and operating plans, identify trends and variances against organizational goals
Track departmental vendor and headcount expenses, identify trends and variances, and provide actionable insights to enhance financial performance
Partner with functional leaders and cross-functional teams to enhance profitability and business growth, deliver accurate and timely reports with actionable financial insights, and work alongside business partners to drive growth and improve efficiency
Prepare monthly and quarterly financial results analyses for executives and board presentations
Conduct cost-benefit analysis on investments in new vendors, platforms, and new processes to enhance financial operations
Assist in identifying and implementing future financial system and process enhancements/investments
Recommend and implement changes to increase the accuracy, effectiveness, and efficiency of models and reports used or produced by the team
Engage frequently with various departments to address business challenges, align on organizational goals, and drive a collaborative, solution-oriented approach to achieving company-wide objectives

SQL Business Intelligence Data Analysis Financial Management Analytical Skills Microsoft Excel Accounting Reporting Budgeting Data visualization Process improvement Financial analysis Budget management

Posted 23 minutes ago

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🔥 Process Improvement Analyst (Junior)

Posted about 1 hour ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: J-Mack Technologies

🔧 Requirements

Bachelor’s degree with 6 Months – 3 Years of Business Analyst Experience.
Ability to undergo a US Government Public Trust Background Investigation.
Strong Communication Skills with ability to provide samples of writing.

💡 Responsibilities

Guide and assist clients through a wide range of management, organizational and business improvement and modernization initiatives by applying continuous process improvement strategies, methodologies and principles.
Develop business methods for problem solving, process change and solutions implementation ensuring enterprise-wide integration.
Identify best practices, evaluate performance metrics, and conduct research to collect, verify, and analyze data, transforming insights into strategic and operational guidance.
Provide group facilitation, interviewing, training and other forms of knowledge transfer.
Area of focus include but are not limited to identifying and eliminating duplication, outsourcing opportunities, streamlining, centralizing, business transformation, business process redesign and modeling, quality improvement and lean six sigma.

Project Management Business Analysis Business Intelligence Data Analysis Communication Skills Analytical Skills Microsoft Excel Agile methodologies Organizational skills Presentation skills Written communication Interpersonal skills Excellent communication skills Problem-solving skills Teamwork Research Training Active listening Client relationship management Data visualization Stakeholder management Process improvement Data modeling Change Management

Posted about 1 hour ago

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🔥 Senior Growth Engineer

Posted about 1 hour ago

📍 United States

🧭 Full-Time

💸 140000.0 - 160000.0 USD per year

🔍 Email Security

🏢 Company: Valimail

🔧 Requirements

4+ years of experience with Python, SQL, or similar languages, with hands-on experience in automation and data flow management in platforms like Snowflake, Segment, Zapier, and Planhat.
2+ years in an operations role supporting Sales, Marketing, Customer Success, or Finance, with a demonstrated ability to align data operations with strategic business goals.
Required proficiency in Snowflake, Segment (or other CDP solutions), and BI tools (e.g., Sigma, PowerBI).
Familiarity with Zapier, Planhat (or similar tools such as Gainsight or ChurnZero), Salesforce, and Atlassian are a plus.

💡 Responsibilities

Oversee and optimize data flow across core platforms, including Snowflake, Sigma, Segment, Salesforce, and Planhat, ensuring seamless integration and reliable data access for cross-functional teams.
Build strong, collaborative relationships with Marketing, Sales, Finance, Product, and Engineering, facilitating data-driven insights and project alignment across departments.
Analyze customer data to derive insights that inform strategic decision-making, delivering actionable reports that support growth objectives.
Spearhead automation and optimization projects, implementing solutions that improve data flow and system efficiency.
Lead key cross-functional initiatives, ensuring smooth execution and alignment across multiple departments.
Provide valuable insights and recommendations to leadership, aligning data-driven findings with broader business objectives.
Tackle a wide range of tasks, from technical troubleshooting to strategic planning and cross-departmental collaboration.

Project Management Python SQL Business Intelligence Data Analysis ETL Salesforce Snowflake Operations Management API testing Data engineering REST API Communication Skills Analytical Skills CI/CD Problem Solving DevOps Cross-functional collaboration Data visualization Strategic thinking Data modeling Data management

Posted about 1 hour ago

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🔥 Product Manager, Order Management

Posted about 2 hours ago

📍 United States

🔍 Ecommerce

🏢 Company: TCGPlayer_External_Career

🔧 Requirements

Demonstrated success as a product manager or similar role working with small business ecommerce tools.
Expertise at customer, operations, and workflow research and past examples of creating new customer value.
4 or more years of product management experience, including subject matter expertise in small business products and services, both within the United States and internationally.
Strong understanding of customer onboarding and retention strategies in an international SMB market.
Ability to engage in technical discussions and collaborations with design, engineering and operations teams.
Ability to coach and guide cross-functional teams without supervisory responsibility and work in a collaborative environment.

💡 Responsibilities

Improve the core product experience for our sellers by focusing on tools and services that enable them to grow and operate their business, including tools to help our online and in-store sellers better manage their orders.
Build strategies for these products that are competitive, cost-effective, and serve our domestic and international customers’ needs.
Determine customer needs through direct interactions, qualitative research, and statistical analysis.
Partner with cross-functional teams of developers, marketing, design, operations, and sales professionals to launch, optimize, and innovate on TCGplayer’s seller tools for product identification and pricing.
Define and own the product vision and strategy, measuring and achieving ambitious goals, regardless of temporary setbacks.
Serve as subject matter expert on small business hobby and collectible sellers’ practices, operations, and paths to long-term success.

Project Management Business Analysis Business Intelligence Data Analysis Product Management Product Operations Cross-functional Team Leadership Product Development Strategy Product Analytics Communication Skills Analytical Skills Collaboration Customer service Agile methodologies RESTful APIs Problem-solving skills Reporting Market Research Stakeholder management Technical support Financial analysis Data modeling Customer support SaaS

Posted about 2 hours ago

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🔥 Data Analyst (Product Analytics Focus with Cross-Functional Collaboration)

Posted about 4 hours ago

📍 United States

🔍 Software Development

🏢 Company: Servant👥 11-50 Consulting Advice Professional Services

🔧 Requirements

Advanced SQL skills for querying complex datasets, optimizing performance, and building custom data models.
Proficiency in Python for data manipulation, statistical analysis, automation, and developing quick ETL workflows.
Experience with product analytics tools such as Google Analytics, Amplitude, Mixpanel, or similar platforms.
Familiarity with UI/UX analytics, including heatmaps, clickstream analysis, and user flow tracking.
Expertise in creating dashboards and reports using Tableau, Power BI, or other visualization tools.
Strong foundation in statistical analysis, A/B testing, and experimentation methodologies.
Experience with cohort analysis, retention analysis, and growth metrics to support business growth initiatives.
Proven ability to work effectively with diverse stakeholders across Product, Marketing, Finance, Operations, and Donor Development.

💡 Responsibilities

Analyze user behavior, feature adoption, retention trends, and app engagement to identify opportunities for product improvement.
Conduct cohort analyses, funnel tracking, and A/B test evaluations to measure the impact of product changes and experiments.
Partner with Product Managers to translate business questions into analytical solutions, providing data-driven recommendations to influence product strategy.
Collaborate with teams across Marketing, Finance, Operations, Donor Development, and other departments to understand their data needs and deliver actionable insights.
Support marketing initiatives with campaign performance analysis, segmentation strategies, and conversion tracking.
Provide financial analysis support related to donation trends, revenue forecasts, and operational efficiency metrics.
Contribute to donor analytics by tracking engagement, retention, and giving patterns to optimize fundraising strategies.
Write complex SQL queries to extract, manipulate, and analyze large datasets from Snowflake, BigQuery, and other data sources.
Use Python for data wrangling, statistical analysis, automation of repetitive tasks, and developing quick ETL pipelines as needed.
Independently identify and implement solutions to data challenges, minimizing dependencies on Data Engineers.
Design and build interactive dashboards in Tableau, Power BI, or custom solutions to visualize key KPIs such as MAUs, donation trends, campaign performance, and operational metrics.
Automate reporting processes to improve efficiency, reduce manual errors, and ensure consistent access to up-to-date data.
Continuously improve dashboards based on user feedback and evolving business needs, ensuring insights are both accessible and impactful.
Leverage product analytics tools (e.g., Google Analytics, Amplitude, Mixpanel) to analyze user interactions and behaviors within digital products.
Conduct heatmap analyses, clickstream tracking, and user journey mapping to identify friction points and areas for optimization.
Provide data-driven recommendations to Product and Design teams to enhance user experiences and improve conversion rates.
Design, implement, and analyze A/B tests to evaluate new product features, marketing campaigns, and operational changes.
Develop statistical models to forecast user growth, donor retention, and revenue trends based on historical data and predictive analytics.
Recommend growth strategies backed by data-driven experimentation and robust analysis.
Ensure data accuracy, consistency, and reliability across all reports and analyses by implementing data validation checks and monitoring data pipelines.
Partner with the Data Architect and Data Governance Lead to uphold data standards and best practices across the organization.
Proactively identify and resolve data discrepancies, ensuring high data integrity in all outputs.
Stay current on emerging trends in product analytics, data science, and business intelligence tools.
Experiment with new technologies, programming languages, and analytical methods to continuously enhance data capabilities.
Share knowledge and best practices with the broader ACoE team, contributing to a culture of continuous improvement and data literacy across the organization.

Python SQL Business Intelligence Data Analysis ETL Numpy Snowflake Google Analytics Amplitude Analytics Tableau Product Analytics REST API Pandas Communication Skills Analytical Skills CI/CD Problem Solving Written communication Reporting JSON Cross-functional collaboration Data visualization Financial analysis Data modeling A/B testing

Posted about 4 hours ago

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🔥 Merchandise Planner

Posted about 5 hours ago

📍 Argentina

🔍 ECommerce

🏢 Company: IPSY

🔧 Requirements

Bachelor's Degree or Master's degree in business or merchandising-related fields
2-3 years of merchandise planning, buying, finance, or inventory management experience within ecommerce
Interest in retail, beauty, or fashion
Strong analytical acumen with proficiency in retail math
Proactive self-starter with excellent interpersonal and time management skills
Impeccable attention to detail
Flexible and comfortable with a fast-paced, always-changing environment
Proficient in Excel, PowerPoint, and Google Workspace (Sheets, Slides, Docs)
Ability to problem-solve, individually or in a group setting.
Ability to develop productive relationships with peer groups within Planning/Merchandising and other departments.

💡 Responsibilities

Forecast and develop merchandise sales plans for commerce assortments.
Manage overall inventory position and flow (tracking receipts, inbound, OH inventory, inventory upload, etc.) for a designated category.
Ensure monthly product assortment is aligned with COGS budget, product margin, and overall merchandise planning direction.
Report on business performance and identify necessary pivots for assigned merchandising category or program.
Collaborate with cross-functional teams and identify actions that align with the needs of the business, maintain systems and files used by cross-functional teams, and ensure all product data is available, accurate, and correctly verified.
Collaborate with the Brand Management team to source inventory in alignment with Merchandising strategies.
Ad-hoc projects, reporting, and analysis in support of the overall Planning team and Leadership, as needed.
Identify, report on, and analyze operational KPIs

Project Management SQL Amazon FBA Business Analysis Business Intelligence Data Analysis Google Analytics Cross-functional Team Leadership Tableau Business Operations Product Analytics Communication Skills Analytical Skills Microsoft Excel RESTful APIs Attention to detail Organizational skills Time Management Written communication Reporting Sales experience Financial analysis Data modeling Budget management PowerPoint

Posted about 5 hours ago

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🔥 AI & Automation Strategy Manager, Customer Support

Posted about 5 hours ago

📍 United States

🧭 Full-Time

💸 92000.0 - 120000.0 USD per year

🔍 Customer Support

🏢 Company: IPSY

🔧 Requirements

5+ years of experience managing self-service/knowledge management systems in a customer support environment
Experience with AI/ML implementations in customer service, from RFI to strategy and tools (and deep investments with vendors and technical partners)
Proven track record of implementing successful self-service strategies with measurable results
Strong technical project management experience with self-service technologies
Experience with data analysis and ability to translate insights into actionable improvements
Demonstrated success in cross-functional project leadership
Proficiency in project management tools (Asana, Jira) and analysis tools (Excel, PowerPoint)
Outstanding communication and stakeholder management skills
Experience with customer support operations and understanding of support metrics

💡 Responsibilities

Develop and execute a comprehensive self-service strategy that drives adoption while maintaining high CSAT scores
Lead the implementation and optimization of self-service technologies including knowledge bases, chatbots, and automated workflows
Build and maintain metrics dashboards to track self-service success rates, deflection rates, and cost savings
Partner with cross-functional stakeholders to ensure seamless integration of self-service solutions across all customer touchpoints
Identify opportunities to leverage AI/ML to enhance self-service capabilities
Drive continuous improvement through data analysis and customer feedback
Establish and monitor KPIs specific to self-service performance
Create and maintain documentation of processes, best practices, and standard operating procedures

Project Management Artificial Intelligence Business Intelligence Data Analysis Machine Learning Project Coordination Cross-functional Team Leadership Strategy Communication Skills Analytical Skills Customer service Data visualization Stakeholder management Data analytics Customer support Customer Success PowerPoint

Posted about 5 hours ago

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🔥 Enterprise Solution Architect

Posted about 5 hours ago

📍 United States

🔍 Microsoft Cloud Solutions

🏢 Company: HSO👥 1001-5000 Information Technology

🔧 Requirements

7+ years of experience in selling Microsoft Cloud Solutions
At least one implementation with documentation in the role of Enterprise Architect implementing Microsoft solutions such as Azure, Data, AI/ML, etc
Expert level in at least one core area of Microsoft solutions with broad understanding of all the elements of the Microsoft technology platform
Experience with Infrastructure as Code (IaC) tools like Terraform or BiCep templates
Experience in specific industries (e.g., healthcare, finance, manufacturing)
Excellent presentation and demonstration skills
Demonstrated experience in customer-facing consulting roles interacting with IT-leaders, product owners, C-level, Executive Sponsors, and business users
Prior consulting, business analyst, implementation, or product support experience required, specifically relating to Microsoft Business Solutions
Prior sales experience selling Enterprise Solutions, such as data analytics and AI/ML solutions on Azure
Ability to thrive in a dynamic and entrepreneurial environment and to work with a team
Ability to travel 30% or more
Degree in Business, Computer Science, Engineering or a related discipline or equivalent education

💡 Responsibilities

Design and architect comprehensive Microsoft Cloud solutions that meet client requirements and align with best practices
Maintain deep expertise in Microsoft Cloud services, including infrastructure, platform, security, IAM, data, AI, ML, modern workplace, application modernization
Develop and cultivate the relationship between HSO and clients through discovery meetings, whiteboarding sessions, and technical analysis, positioning HSO as an effective partner in uncovering realistic solutions to our clients’ needs
Work with prospects and clients to determine the scope of work, and technology approaches, to create an overall enterprise architecture
Provide supplementary details such as proof-of concepts or demonstrations, pre-sales collateral, presentations, case studies, and demos that validate client’ strategic vision, business requirements, and objectives to create a compelling value proposition that supports decision-making
Assist in the development of Microsoft-based capabilities for clients: outlining not only best practices and technical innovations, but also showing how it can be optimized to meet our clients' business needs
Define stakeholder breadth and engagement, meeting key decision makers at their level: from architectural and solution scoping to developing a technology strategy that aligns with the organization's broader financial goals
Apply your industry or product knowledge to communicate understanding of the environment or industry in which the client operates, unique needs, or constraints/opportunities of the legacy landscape
Act as a trusted advisor to clients, understanding their business needs and technical requirements.Drive value-based recommendations
Conduct discovery workshops and technical assessments to gather information and identify opportunities
Deliver compelling presentations and demonstrations of Microsoft Cloud solutions to clients at all levels
Developing detailed proposals, SOWs, and cost estimates using our defined tooling process
Using a consultative approach to drive HSO business
Responding to RFPs and RFIs with accurate and compelling technical information
Collaborating closely with clients, stakeholders, and internal teams to capture the clients’ overall strategic visions, matching up the technology to the requirements
Working closely with clients to understand their business needs and helping them to implement it into scalable, efficient, and effective solutions
Assessing the feasibility of new processes or technologies within a business, making appropriate technology choices for the customer to support the architectural requirements and principles
Collaborating with multiple internal and external stakeholders simultaneously including sales teams, practice leads and delivery teams
Understanding the full range of the landscape in which the client operates (business, geography, regulatory, etc.) and be able to use this in the definition and validation of the architecture
Staying updated on the latest trends, advancements, and competitive landscape within the Microsoft ecosystem

SQL Business Analysis Business Intelligence Cloud Computing Kubernetes Microsoft Active Directory Microsoft Azure Microsoft Dynamics Microsoft Exchange Microsoft .NET Microsoft Power BI Microsoft SQL Server Software Architecture Azure CI/CD RESTful APIs Terraform Microsoft Office Suite Sales experience Data modeling Data analytics Data management

Posted about 5 hours ago

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🔥 Senior Data Analyst

Posted about 6 hours ago

📍 Ireland, United States (AZ, CA, CO, CT, FL, GA, IL, IN, IA, KS, MA, MI, MN, MO, NE, NJ, NY, NC, PA, SD, TN, TX, UT, WA, WI)

🔍 Data Analysis

🏢 Company: Sojern👥 501-1000💰 $9,842,000 over 1 year ago🫂 Last layoff over 1 year agoDigital Marketing Advertising Platforms SaaS Travel

🔧 Requirements

3+ years of experience in a data-driven role, preferably in analytics, data engineering, or business intelligence.
Strong proficiency in SQL (writing complex queries, working with relational databases).
Exposure to building ETL pipelines
Familiarity with BI tools (Tableau, Power BI, Looker, etc.) and the ability to create meaningful data visualizations.
Ability to work in a fast-paced environment, manage multiple priorities, and communicate insights effectively to both technical and non-technical stakeholders.

💡 Responsibilities

Work closely with Sales, Finance, Product, and Marketing teams to understand business needs and translate them into data solutions.
Analyze large datasets to identify trends, performance metrics, and actionable insights that support strategic business initiatives.
Develop detailed reports and dashboards using Tableau to help stakeholders make data-driven decisions.
Collaborate with data scientists and operations analysts to support testing and analysis on campaigns.
Build, optimize, and maintain ETL pipelines to process and transform raw data into structured, meaningful datasets.
Work with SQL, Python, and BigQuery to extract, clean, and manipulate data from multiple sources.
Ensure data quality, integrity, and consistency across different data sources.

Python SQL Apache Airflow Business Intelligence Data Analysis ETL Jenkins Tableau Algorithms Data engineering Data Structures REST API Reporting Data entry Data visualization Data modeling Data analytics Data management

Posted about 6 hours ago

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🔥 Principal Data Engineer

Posted about 7 hours ago

📍 United Kingdom

🧭 Full-Time

🔍 Insurance

🏢 Company: external

🔧 Requirements

Extensive experience of designing and building end to end data solutions (10 years +)
Experience of carrying out data engineering design and build activities using agile working practices
Experience of Databricks solutions, Databricks administration and pyspark
Data Factory/Synapse Workspace – for building data pipelines or synapse analytics pipelines
Data Lake – Delta Lake design pattern implementation experience in Azure Data Lake Gen2
Synapse Warehouse/Analytics – Experience in Synapse data mappings, external tables, schema creation from SSMS, knowledge on how Synapse pool works behind the scenes
Azure Active Directory – for Managed identities creation and usage or for generating service principles for authentication and authorization
Version Control – Experience in building Data Ops i.e., CICD pipelines in Azure DevOps with managed identity
Unit Testing – Experience in writing unit tests for data pipelines
Data Architecture – Knowledge or experience in implementing, Kimball style Data Warehouse
Data Quality – Experience in applying Data Quality rules within Azure Data Flow Activities
Data Transformation – Extensive hands on with Azure Data Flow Activities for Cleansing, transforming, validation and quality checks
Azure Cloud – Knowledge and confidence in effective communication on Azure Cloud Subscriptions

💡 Responsibilities

Create or guide the low-level design of data solutions
Be responsible for the quality of the overall data platform(s)
Be responsible for coding standards, low level design and ingestion patterns for the data platform(s)
Develop high complexity, secure, governed, high quality, efficient data pipelines
Set the standards and ensure that data is cleansed, mapped, transformed and optimised for storage
Design and build of data observability and data quality by design into all Data pipelines
Build solutions that pipe transform data into data lake storage areas, physical database models and reporting structures across data lake, data warehouse, business intelligence systems and analytics applications
Build physical data models that are appropriately designed to meet business needs and optimise storage requirements
Carry out unit testing of own code, peer testing of others code
Ensure that effective, and appropriate documentation that brings transparency and understandability are in place for all content on the data platform(s)
Coach and mentor Senior Data Engineers, Data engineers & Associate Data Engineers
Create high complexity BI solutions

Python SQL Agile Business Intelligence ETL Microsoft Power BI Apache Kafka Azure Data engineering CI/CD Data modeling Data analytics

Posted about 7 hours ago

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