Chicago Tech Jobs and Startup Jobs

14

Product Manager

Networked Insights
Chicago
5 days ago
+21
As Product Manager, you will be responsible for managing the evolution of your product across multiple dimensions (e.g., feature & functionality, cost, risk and support), working with key internal and external stakeholders. As such, you will conduct deep analysis of market trends, customer empathy, and internal and external data to define a differentiated product vision that delivers unique value.

Senior Big Data Engineer- Data Warehouse

Integral Ad Science
Chicago
1 week ago
+49
We’re looking for a Senior Data Engineer for our Chicago to join us in building our next generation data processing platform. As part of the platform team you will work in multiple areas including campaign performance measurement and reporting, ad fraud, and botnet detection.

Software/Data Engineer - Data Warehouse

Integral Ad Science
Chicago
1 week ago
+49
Planning delivery of data pipelines and api endpoints for IAS (Integral Ad Science) product offerings. Extracting, transforming, and analyzing large volumes of structured and unstructured data. Implementing data processing solutions using Big data stack including but not limited to Hadoop, Spark, Vertica, and Hive. Writing SQL queries and other types of data requests in the context of massive data sets. Building data pipelines and data stores optimized for data science needs. Implementing systems for large-scale data analysis and machine learning. Building tools for use across the Data Science and Data Engineering teams. Identifying and implementing automated tests for software components. Deploying and maintaining data processing systems in production. Partnering with engineering teams on deployments of data science driven solutions.

Data Engineer

DialogTech
Chicago
1 week ago
+47
We are looking for a passionate, driven, and detail-oriented Data Engineer to join our Data Science and Analytics team. In this role, you’ll work with our team to design, implement, and optimize our data lake and data pipelines. At DialogTech, we have a mixture of structured and unstructured data -- the DialogTech platform handles over 1 million calls/day and produces over 10 millions minutes of transcriptions per month, and our data labeling team generates over 600 thousand data labels per year. As a Data Engineer, you’ll be focused on building data pipelines and tools to help us scale up our labeling and modeling practices. You'll be expected to keep up with current trends in technologies that can be used to improve our data focused systems.

Business Solution Analyst (iManage Risk & Comp…

iManage
Chicago
3 weeks ago
+44
You will be responsible for defining and delivering our iManage Business Intake and Conflicts Manager products to our clients. You will discover and document business requirements and translate those requirements into technical solutions and related specifications. You will be a part of a dynamic team and help shape the way our team will continue to grow. Our Business Solution Analysts provide billable solution analysis and project management work to continue to enhance our customer relationships. You are hungry to learn and want to become a subject matter expert within our iManage Business Intake and Conflicts Manager product space. If this sounds like you, see below for more of what you can expect!

Staff (Principal level) Software - Big Data Engine…

Integral Ad Science
Chicago
3 weeks ago
+49
Working on Big Data technologies such as Hadoop, MapReduce, Kafka, and/or Spark in columnar databases. Architect, design, code and maintain components for aggregating tens of billions of daily transactions. Lead the entire software lifecycle including hands-on development, code reviews, testing, deployment, and documentation for streaming and batch ETL's and RESTful API's. Mentor junior team members.

Associate Data Engineer

Integral Ad Science
Chicago
3 weeks ago
+49
As an Associate Data Engineer you will build and expand upon the testing framework and testing infrastructure of IAS’ core ad verification, analytics and anti ad fraud software products. The ideal candidate is naturally curious, dedicated, detail-oriented with a strong desire to work with awesome people in a highly collaborative environment. You should be able to not take yourself too seriously as well.

Junior Data Scientist

VAMONDE
Chicago
3 weeks ago
+14
The ideal candidate is someone who’s confident in their skills with Python and is aiming to develop a career in Data Science / Machine Learning. You’ve modeled out and implemented complex data structures and are able to explain them to non-technical team members. Ideally, you’ve also worked with AWS or other comparable platforms and are willing to work with us on recommendation engines, data normalization, and user journey insights.

BI and Data Engineer

Envoy Global
Chicago
1 month ago
+47
This role intersects data engineering and business intelligence to provide data solutions to internal stakeholders and customers. The person in this role will work closely with Customer Service, Finance, Product and Engineering teams to deliver data assets and Dashboards for actionable insights.

Data Quality Engineer

Envoy Global
Chicago
1 month ago
+47
The Data Quality Engineer will be responsible to designing, developing, documenting and performing data quality checks across all data assets developed at Envoy. That includes ETL jobs, reports, dashboards and data pipelines. The primary goal for this role is to ensure high quality of data delivered to internal stakeholders and customers. Validation of data in data repositories (DW, Data Marts) against data from source systems and validation of metrics and data in reports/dashboards against data in the repositories is a key responsibility. Essentially, making data assets consistently accurate for users.

Senior Data Analyst

Foresight ROI
Chicago
1 month ago
+36
The Senior Data Analyst position is responsible for the analysis and processing of raw client data.  Responsibilities include working with SQL server to process raw client data into Foresight’s standard database schema, managing data cleaning/QA, and building custom reporting queries for internal analysis.  This role is also expected to work cross-functionally with the client service and analytics teams to ensure that clients datasets are complete and accurate.  Additionally, this role assists with creating the initial insights for a given client by providing an understanding of a client’s dataset.

Platform & Data Product Manager

Rewards Network
Chicago
1 month ago
+29
Rewards Network (RN) is seeking a Product Manager to join our team of fun, engaged, smart, fast-moving individuals dedicated to building great products for our business, partners, restaurants, and consumers. This essential role willhelp drive the roadmap and execution of client, customer, and internally facing software products. As a member of the team, you will leverage your knowledge of RNs software products and relationships with both key business stakeholders and clients to determine business needs, articulate them into business outcomes/scenarios, and deliver thorough and clear requirements to developers in order to deliver high-quality software and products.

Research Analyst

Competiscan
Chicago
2 months ago
+19
Create and deliver impactful custom research reports that highlight key findings and convey complex data in a clear and concise manner. Identify and communicate insights and opportunities regarding consumer and market trends, competitive forces, and competitor strategies, within Financial Services and Insurance industries. Interpret qualitative and quantitative information in order to develop relevant insights and determine business implications. Research market trends utilizing various information services. Assess the reliability of research findings, maintaining high standards for accuracy, relevance and quality in deliverables at all times. Engage with clients by presenting insights in-person, over the phone, or via webinar. Provide superior customer service to clients by working through the CI Manager to effectively communicate with them to clarify needs, set proper expectations, provide status updates and follow up as appropriate.

Product Owner

Syndigo
Chicago
2 months ago
+27
The Product Owner will be responsible for the end-to-end process related to his or her features, including: developing functional and non-functional business requirements, collaborate with engineering to build features according to business needs, train internal and external stakeholders on new product functionality, and function as the product/technical lead during sales cycles. This role will require someone who understands technology and business, a high degree of organization and attention to detail, and the ability to professionally interact with a diverse blend of personalities to reach resolution and maintain strong relationships.

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