Responsible for creating a data-driven culture within the organization and driving insights utilizing data analytics, reporting, and data visualization, that will support business growth and decision-making.

Kudoz alerts you to gaps in Salesforce data and makes it easy to fix them, so there are no orphaned opportunities at the end of the month. With a few clicks, your team can claim missing Salesforce credit with Kudoz.• Developed and launched Salesforce App that helps B2B Marketers justify their impact to secure future marketing budgets with accurate reporting.• Lead Marketing & Sales efforts to generate quality blog content and conduct sales call (first call, discovery, demo, and follow-up).

As an Analytics Engineer, I specialize in accelerating data analytics transformation projects for various clients in Telematics, FinTech and Telecom focusing on data warehouse and automated reporting initiatives.Major Responsibilities:* I’m the lead for modeling Sales & Marketing Data (Salesforce CRM, Bizible attribution, 6Sense ABM data, Ad Tech data) in Snowflake. I lead a weekly meeting with the engineering and strategic operations personnel to identify, explore, and discuss areas of improvement in data accuracy, integration needs, and how we can drive analytics success. By constructing SQL queries that combine Salesforce, Bizible, and AdTech datasets, I craft actionable Tableau Dashboards from Snowflake, enabling executive visibility and drill-down capability - providing self-serve access to enrich insights.* With my experience and expertise in technology automation, I led the team to deliver DataWeld - a data warehouse solution that eliminated the manual labor of reporting and sped up the onboarding process for our clients. I managed an ambitious engineering squad featuring 3 engineers and 3 analysts throughout development- from designing models to deploying pipelines - providing hands-on support along every step of the way with weekly scrums and two week sprints. The enterprise solution leveraged BitBucket Repositories, AWS S3 Buckets, lambda functions, AWS Data Pipelines, AWS Redshift, and Tableau to deliver dashboards within one- day of client onboarding. * Designed and launched a Salesforce App, Kudoz, that improves data quality management for accurate Salesforce reporting. Led user interviews, UI development and worked with engineers to develop App that automatically detects and suggests resolutions for incomplete Salesforce data by connecting disconnected Account, Contact, and Lead object data to the Opportunity using Apex, Batch Apex, SOQL, Custom Settings, and Lightning Web Components, enabling marketers to report on pipeline and revenue impact.

Performance-Driven Digital Marketing. We leverage data to gain deep insights about our clients’ customers’ specific needs in each phase of their buying journey and then align digital marketing activities to meet these needs. This data-driven, customer-centered approach builds strong relationships and thereby improves marketing performance.

Responsible for analysis of incentive compensation based on deposits, loans, income and expenses. This entails preparing and running complex analytical models, conducting research, forecasting, and analysis to formulate data for decision support. The emphasis is on analysis of sales data, however work closely with the product, marketing & finance team data to allocate goals accurately. Major Responsibilities:• Developing and running complex models for estimating: customer lifetime value, customer acquisition & attrition rates, products & services usage, and profitability; • Providing analysis and interpretation of the results of marketing campaigns, product rate promotions, and employee sales contests; • Acting as a technical expert lead in the analysis and interpretation of marketing data; • Working closely with the Retail Bank senior management and the Sales & Marketing department; • Developing and running complex SQL queries in order to acquire data prior to doing analysis; • Creating and maintaining complex financial analysis models; • Representing assigned business area on various committees; • Issue awareness and resolution as defined by the committees; • Developing and tracking KPI efficiency/effectiveness metrics for business lines; and • Tracking, monitoring, and analyzing goals and associated metrics.

Database Marketing Manager Responsible for monitoring and reporting on the performance of our B2B lead generation marketing vehicles and optimize by testing & targeting. Research and gather key data points about the industry and strategic Accounts from External Sources to find key strategy and market information to pass along to the Product Managers and Sales team.  Assist the Sales Directors in managing Sales Reps by sending a weekly dashboard of where their Leads sit in their Salesforce queue and shed insights. Utilize SQL, Tableau, Excel & Pipeline Pilot to analyze the performance of our business goals and present a Monthly presentation of our KPI’s with commentary & actionable recommendations about the data.

Business Data & Web Marketing Analyst  Analyze consumer web trends for 20 websites that generate 100 M Monthly PVs and develop actionable recommendations to improve website traffic and sales.  Heavily involved with implementing data reporting architecture and processes to ensure that all projects have a goal that is measurable and quantifiable.  Responsible for monitoring the integrity of the data by reconciling monthly. Shed marketable insights about our user’s demographics and website navigational patterns to the Ad Online Sponsorship Team.  Support business development in due diligence efforts on new partnerships and acquisitions by developing a plan to integrate reporting applications.  Work closely with managers in every department to broadcast which projects performed well and didn’t, which helps eliminate redundancy in similar projects.

Actuarial Business Analyst/Consultant Participate and present in high level discussions with management on statistically computed findings, concerns, issues and future predictions.  Perform raw data analysis checks in SQL, SAS database platforms and assess the reasonableness of the data to historical and current trends based on industry patterns and judgmental knowledge. Troubleshoot software support issues from clients and go onsite to resolve and train clients on data formation and predictive modeling techniques.  Establish documentation for clients’ Project Manager that details any issues and each step taken so they could replicate this project in the future. Seek external predictive data that the clients’ current data doesn’t include to help leverage key component information to make more timely decisions.

Responsible for the daily decisioning of auto finance loans.