Roles & Responsibilities: This internship is designed to teach a college level student about applicable lines of business across the Data Axle organization. The internship will assist and support the daily running of assigned departmental programs and procedures to facilitate completion of projects. Responsibilities include: Provide support on essential departmental duties. Work with team on special projects. Assist with the development of presentations, letters, and other materials for projects. Coordinate daily workflow to ensure that deadlines are being met. Design and deliver general correspondence, memoranda, charts, tables, and graphs. Proofread copy for spelling, grammar, and layout, making appropriate changes. Maintain project files. Other duties as assigned. Requirements: Current enrolment in an applicable degree program is required. Ability to communicate in an articulate, professional manner. Ability to quickly assess situations and provide appropriate feedback. Strong working knowledge of PC software applications such as the Microsoft Office Suite. Self-starter with an aptitude for learning. Ability to work as a team member. Excellent organization and time management skills. This position description is intended to describe the duties most frequently performed by an individual in this position. It is not intended to be a complete list of assigned duties but to describe a position level

About Data Axle: Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for 50 years in the US. Data Axle has set a strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and leveraging proprietary business & consumer databases. Data Axle is headquartered in Dallas, TX, USA. Roles & Responsibilities: We are looking for a Data Engineer who will design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power. Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies. Creation and support of real-time data pipelines built on AWS technologies including Glue, Redshift/Spectrum, Kinesis, EMR and Athena. Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency. Working closely with team members to drive real-time model implementations for monitoring and alerting of risk systems. Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning. Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. Requirements: 3-5 + years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets. Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline. Demonstrated strength in data modeling, ETL development, and data warehousing. Experience using big data processing technology using Spark. Knowledge of data management fundamentals and data storage principles. Experience using business intelligence reporting tools (Tableau, Business Objects, Cognos, Power BI etc.). Experience working with AWS big data technologies (Redshift, S3, EMR, Spark). Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience working with distributed systems as it pertains to data storage and computing. Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.

About Data Axle: Data Axle Inc. has been an industry leader in data, marketing solutions, sales, and research for over 50 years in the USA. Data Axle now has an established strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business and consumer databases. Data Axle India is recognized as a Great Place to Work! This prestigious designation is a testament to our collective efforts in fostering an exceptional workplace culture and creating an environment where every team member can thrive. General Summary: We are looking for a Collections Specialist Associate who will be responsible for contacting clients and customers regarding collection of payment, collecting unpaid balances, and applying payments to accounts. Roles & Responsibilities: Make collection calls on past due accounts. Collect payments due on unpaid balances from delinquent accounts. Work with customers to resolve disputed items. Issue appropriate credits and post accurately. Review and reconcile accounts. Re-bill if necessary. Post daily cash receipts. Research negative balance accounts. Review tax exempt certificates and code them into the master file. Escalate any accounts that are more than 75 days delinquent. Preparation and distribution of reports. Able to be at work on a regular and predictable basis or as scheduled. Ad hoc projects within accounting Requirements: Qualifications: 2-4 years of previous relevant work experience required Bachelor's degree Ability to sufficiently communicate with individuals at all levels in the Company and with various external business contacts in an articulate, professional manner. Strong organizational skills and attention to detail. Must have experience in managing high volume email communications. Ability to anticipate and react quickly in a dynamic business environment. Must be a team player. Must be able to multi-task to meet strict deadlines. Ability to use Microsoft Excel and Outlook at an advanced level Experience with Oracle EBS This position description is intended to describe the duties most frequently performed by an individual in this position. It is not intended to be a complete list of assigned duties but to describe a position level. Disclaimer: Data Axle India follows a merit-based employee recruitment practice with extensive screening steps. Data Axle India does not charge/accept any amount or security deposit from job seekers during the recruitment process. Job Seekers are requested to be aware of unsolicited or fraudulent communication regarding a job offer or an interview call against payment of money, please stay alert. All Data Axle India jobs are published on the Careers page of its website and/or on its LinkedIn profile. Interested job seekers may access the same and apply directly. If you believe you have been a victim of recruitment fraud, you are requested to approach law enforcement agencies immediately.