James Shen

Business Intelligence Analyst – Remote: Our direct client, a fast-growing digital healthcare company based in NY, is looking for an experienced and curious Business Intelligence (BI) Analyst. You will oversee and conduct the conversion of data into insights that will lead to informed business decisions. You will work directly with stakeholders and business executives according to each assigned project. You should have a curious nature, a passion for digging deeper into the data of an organization and have a knack for translating and telling the story of the insights that the data provides.  You must have a keen understanding of the business and be motivated to help find solutions to complex problems. Responsibilities:

• Developing business requirements: Work with end-users and organizational stakeholders to develop business requirements for BI solutions. This includes understanding business needs, identifying data sources, and developing data models that meet business requirements. Work closely with the organization’s data analytics and reporting to empower teams and influence business decisions.
• Work in data sources: Identify, evaluate, and document potential data sources in support of project requirements within the assigned departments in the business.
• QA testing dashboards and reports: Help in QA testing dashboards and reports to ensure that they meet business requirements and are free of errors. Ensure data accuracy and create ad hoc reports.
• Experience working with Tableau or other comparative BI tools is required.
• Present data insights that tell the story and provide suggestions for action-planning to the appropriate subject matter experts in a timely manner and participate in brainstorming on approaches or solutions to a business problem.
• Stakeholder communication: Identify and communicate risks and issues in projects/programs initiated by the assigned departments and communicate this information as soon as possible to the relevant leadership. Identify, communicate, and resolve data gaps that impact the fulfillment of the business’s functional requirements promptly.
• Build and operationalize processes that ensure timely data-loading and maintain accuracy and relevance of Use data to guide assigned business departments through all programs and initiatives, enabling continuous improvement in data quality, departmental performance, and overall business performance.

Qualifications:

• Bachelor's degree in data science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math, Business Administration, or related field required. Master’s preferred.
• At least 2 years of experience in business analysis and data/quantitative modeling.
• Experience working with Tableau strongly preferred.
• Proficient in Microsoft Office Suite with expertise in Excel.
• Extremely detailed, organized, and able to work in a fast-paced environment while handling multiple projects.
• Excellent written and verbal communication skills.

Data Engineer (ML) – Hybrid: Our direct client, a fast-growing FinTech firm in New York City, is looking for a Data Engineer.  In this role, you will work with Sales, Marketing, and Product teams to define, calculate, and grow their key operating metrics (e.g. sales, conversions, retention). This individual will conduct exploratory data analysis, statistical analysis, and predictive modeling of the data.  At a technical level, this role will create data models in dbt, perform EDA in Pandas, build ML models and libraries in Python, and visualize success metrics in Tableau, all in about equal proportion.  This role blends data engineering, data analytics and data science.  The current technical stack includes Snowflake, dbt, Python and Tableau. This position sits within the Analytics team of the broader Data & Analytics department and works closely with our Data Engineering, Business Intelligence, and Machine Learning teams. 2 or 3 days onsite work in the NYC midtown office is required.  Base salary is in the $140-160K range DOE, plus generous bonus and stock options.  Responsibilities

• Write SQL (in dbt) to transform, validate, enrich, and aggregate our data. 
• Iterate on ML model development (model selection/evaluation, feature engineering, hyperparameter tuning). 
• Develop ML libraries to accelerate development workflow (versioning, tracking, visualization, and explainability). 
• Conduct and interpret statistical analyses (hypothesis tests, regression, PCA, etc.). 
• Visualize key performance metrics within Tableau. 
• Work with our Data Engineering, Business Intelligence and Machine Learning teams on data infra, dashboards and ML models. 
• Participate in our support rotation and SDLC release process. 

Qualifications

• Very proficient in SQL and data modeling 
• Very proficient in Python 
• Proficient in software development (e.g. OOP, APIs, ORMs, deployment, testing) 
• Proficient in statistics, ML models and ML development 
• Experience with, or interest in learning, a BI tool 
• 4 to 6 years of experience in a data-related role 
• Bachelor’s degree or higher in computer science, mathematics, statistics, or related technical field 

Data and BI Analyst – Hybrid: Our direct client, a fast-growing FinTech firm in New York City, is looking for a Data and BI Analyst. You will oversee and conduct the conversion of data into insights that will lead to informed business decisions. You will work directly with stakeholders and business teams according to each assigned project. You should have a curious nature, a passion for digging deeper into the data of an organization and have a knack for translating and telling the story of the insights that the data provides.  You must have a keen understanding of the business and be motivated to help find solutions to complex problems. 2 or 3 days onsite work in the NYC midtown office is required.  Base salary is in the $140-160K range DOE, plus generous bonus and stock options.  Responsibilities:

• Developing business requirements: Work with end-users and organizational stakeholders to develop business requirements for BI solutions. This includes understanding business needs, identifying data sources, and developing data models that meet business requirements. Work closely with the organization’s data analytics and reporting to empower teams and influence business decisions.
• Work in data sources: Identify, evaluate, and document potential data sources in support of project requirements within the assigned departments in the business.
• QA testing dashboards and reports: Help in QA testing dashboards and reports to ensure that they meet business requirements and are free of errors. Ensure data accuracy and create ad hoc reports.
• Experience working with Tableau or other comparative BI tools is required.
• Present data insights that tell the story and provide suggestions for action-planning to the appropriate subject matter experts in a timely manner and participate in brainstorming on approaches or solutions to a business problem.
• Build and operationalize processes that ensure timely data-loading and maintain accuracy and relevance of Use data to guide assigned business departments through all programs and initiatives, enabling continuous improvement in data quality, departmental performance, and overall business performance.

Qualifications:

• Bachelor's degree in data science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math, Business Administration, or related field required.
• 4 – 6 years of experience in data analysis, SQL and BI development.
• Experience working with Tableau (preferred) or another BI tool (i.e. PowerBI, Looker).
• Python or R experience considered a plus.
• Proficient in Microsoft Office Suite with expertise in Excel.
• Extremely detailed, organized, and able to work in a fast-paced environment while handling multiple projects.
• Excellent written and verbal communication skills.

Data Engineer (with Salesforce experience) - Hybrid: Our direct client, a fast-growing FinTech firm in New York City, is looking for a Data Engineer to join the Data and Analytics team. This role will help build the infrastructure to make data a central part of the firm. Data driven decisions are very critical for the business, as a result, we are looking for an Engineer that will be able to use the ata and understand it to help make actionable decisions. The ideal candidate can quickly grasp complex and fluid business problems and solve them with robust and creative analyses after having built a highly performant and scalable infrastructure to warehouse the data. 2 or 3 days onsite work in the NYC midtown office is required.  Base salary is in the $120-150K range DOE, plus generous bonus and stock options.  Responsibilities

• Leverage open-source technologies and cloud solutions to build elegant features that users love. 
• Develop and automate large scale, high-performance data platform infrastructure to drive the business growth and enable data-driven organization. 
• Design and develop reusable components and frameworks for ingestion, cleansing, and data quality. 
• Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse. 
• Design data models for optimal storage and retrieval that represent the product entities and meet business requirements. 
• Design and develop in Salesforce and Apex to automate processes and meet a variety of business needs. 
• Coordinate closely with sales and product development teams daily to push firm’s strategy and improve the overall profitability of our business. 

Qualifications

• Bachelor’s or Master’s degree in computer science, data science, mathematics, statistics or other quantitative area or related field 
• 1-4 years of experience with open-source technologies or object-oriented/functional programming, strong ability to write easy-to-scale, and high-quality code 
• Experience in at least one numeric research framework (python/pandas, R/Splus, Octave/Matlab) 
• Familiar with OLAP (Redshift, Snowflake) and OLTP (PostgreSQL, MongoDB) databases 
• Familiar with various database designs (Relational, Columnar, NoSQL) 
• Experience with Salesforce development, Apex, and working with Apex classes, batching, bulk processing, triggers, events and event buses, and writing test classes 
• Experience using probability/statistics 
• Detail-oriented, able to multitask, and work in a fast-paced environment 
• Passionate about programming and cutting-edge technologies 
• Professional experience with Python and JVM based languages such as Scala, Java, and Kotlin is preferred 
• Experience building data-pipelines, data-lakes and data warehouses is preferred 
• Good knowledge of financial markets and financial instruments is preferred 
• Experience with AWS solutions such as Lambda, S3, Kinesis, ElastiCache is preferred 
• Familiar with AWS and infrastructure-as-code (terraform or cloud formation) is preferred 
• Familiar with the use and restrictions of PII data for analysis, research, development, and testing is preferred 

Sr. DevOps/SRE  – Hybrid: Our direct client, a fast-growing FinTech firm in New York City, is looking for a Senior DevOps/SRE Engineer to develop and maintain the production and development environments for a multi-party application. This role will utilize strong DevOps principles and advanced cloud capabilities to facilitate the infrastructure and automated CI/CD for a distributed ledger platform. The ideal candidate is a highly collaborative, creative, and intellectually curious DevOps Engineer. The person in this role should have solid experience in Site Reliability Engineering and is passionate about forming and implementing cutting-edge cloud computing capabilities.  2 or 3 days onsite work in the NYC midtown office is required.  Base salary is in the $160-200K range DOE, plus generous bonus and stock options.    Responsibilities 

• Design, implement, and manage AWS cloud infrastructure using Terraform and CloudFormation. 
• Develop and maintain CI/CD pipelines using GitLab for seamless code deployment and integration. 
• Collaborate with blockchain engineers to ensure optimal performance and security of the distributed ledger technology (DLT). 
• Monitor system performance using Grafana, Prometheus, and Datadog, and proactively address system issues. 
• Ensure high availability and reliability of the application across the end-to-end tech stacks. 
• Collaborate with cross-functional teams to understand needs and deliver solutions that meet business objectives. 
• Lead and mentor junior team members, fostering a culture of continuous learning and improvement. 

  Qualifications 

• 8+ years of experience in DevOps, TechOps, or SRE, including at least 5 years working with AWS 
• Strong desire to experience microservices in a production environment, particularly with Docker and Kubernetes 
• Strong Linux OS-level, command-line and scripting knowledge (e.g., Bash, Python), and configuration management principles 
• Applicants should have a working knowledge of databases such as MongoDB, Postgres, and DynamoDB 
• Experience in architecting, implementing, and managing monitoring tools such as Prometheus/Grafana, CloudWatch, Splunk, Datadog, NewRelic, and ELK in the cloud 
• Experience with compute provisioning on Cloud-based platforms using Terraform and/or CloudFormation 
• Exceptional analytical skills, able to apply knowledge and experience in decision-making to arrive at creative and commercial solutions 
• Experience in building a Microservice-based architecture 
• Excellent verbal and written communication skills 
• Able to design and implement complex, but easily managed, automated infrastructure 
• A desire to share knowledge, teach, and learn as part of a collaborative team 
• AWS certifications are a plus 
• Experience developing or integrating with blockchain applications is preferred, but not required