Job description:
do you have what it takes to work for a leading fintech transformation provider?we provide smarter software integration for modern experiences. kinective helps financial institutions optimize the foundational technology behind transformation by integrating cash recyclers, self-service kiosks, and tablet-banking interfaces into banking cores. we integrate the kind of technology financial institutions need to drive more efficient, modern, and connected retail banking experiences. if you want to be part of a team that is constantly innovating and raising the bar in the world of banking technology, youve come to the right place. the job responsibilities:ensure accuracy for revenue recognition according to acs 606 standard and company policyownership and maintenance of deferred revenue schedulesinvoicing new contracts, tracking renewals, executing on price increase strategies and processesworking with sales operations to ensure closedwon opportunities are captured and reconciledcalculating sales commissionsinternal & external key point of contact and lead on partner, channel, & revenue share agreementsmonth end close participation and closing entriesmonthly reconciliations and flux analysisprovide outside auditors with assistance; gathers and provides necessary information and documents for annual financial statement auditsprovides support for sales tax processes as well as support for any sales and use tax audit requirementsdevelop, improve, and ensure adherence to company policies and proceduresad hoc reporting and special projects as required skill requirements:working knowledge of asc 606 revenue recognition policiesbasic understanding of sarbanes oxley controlsability to create efficiency and streamline processesproblem solving skillsorganizational skills educational requirements:bachelors degree in accounting and minimum of 2-5 years of accounting experience. a masters degree and cpa (track) preferredposition is on-site at gilbert, az office. hybrid model optional. what does life at kinective look like?a typical corporate environment is pretty stiff and uninspiring. not at kinective. we like to balance all of our hard work with a bit of fun from time to time. imagine working in an environment where we are continuously building the right place to work and the solutions that truly solve client needs. this is a culture where team members are encouraged to take charge, and where integrity rules all. we trust and respect everyone to do their jobs to the best of their abilities. learning new skills, mentoring team members, and exploring personal development are all welcome and encouraged here. kinective knows with professional growth comes great opportunities. that's why we like to promote from within and give our team members the opportunity to rise with us. as a team member of kinective, we recognize that you are integral to our company's success. kinective is an equal opportunity employer. all applicants will be considered for employment regardless of color, race, religion, disability, sex, sexual orientation, gender identity, age, national origin, veteran status or any other characteristic protected by federal, state andor local law.

Resume:
<<summaryhighly motivated sales associate with extensive customer service and sales experience. outgoing sales professional with track record of driving increased sales, improving buying experience and elevating company profile with target market. skills machine learning/data mining & nlp - linear regression, neural networks/deep learning, naive bayes, svm, logistic regression,decision trees, k-mean, knn, n- grams, edit distance, gradient descentstatistical programming & packages - r, python, numpy, matplotlib, scikit-learn, pandas, ggplot2, shiny, dplyr, caret, e1071,kerasbusiness intelligence & visualization - tableau, qlik view, qlik sense, excel, obieehadoop ecosystem components - spark, hive, sqoop, flume, kafka, impaladatabases - oracle, mysql, postgresqloracle erp & fusion middleware - oracle e-business suite 11i & r12, oracle soa, oracle service busother languages & tools - /sql, core java, scala, rstudio, jupyter, sqldeveloper, toad, atomcertifications - tableau, sql & pl/sql experience data science & data engineer intern, 01/2017-presentenvestnet– ,working on big data ingestion using sqoop for transferring data from multiple mysql database servers to transient storage in amazon emr hcatalog and using hive to transfer data to persistent storage in amazon s3 bucket -> developing sqoop and hive scripts for data ingestion -> using r and spark in amazon emr for filtering, exploring, analyzing, providing insights on data and developing reports.oracle technical consultant & data analyst, 02/2013- 07/2016first american corporation–city. -hoc requests , reporting and for analyzing large data sets -> designed er diagrams, conceptual models, logical and physical models, created database objects - tables, indexes, sequences and views -> developed oracle business intelligence reports, created and modified oracle database objects - tables, views and indexes which increased the performance of oracle business intelligence reports by 60% in production environment -> prepared sql.loader scripts for loading data from other systems into oracle erp system, worked with on-site business team in performing data fixes -> created pl/sql interfaces for doing business validation, transferring data between erp modules and loading data to base tables.data analyst intern, 11/2012- 01/2013cmc limited–city.indiagt; developed sql scripts, worked on oracle 11i database and oracle reports. education and trainingmaster of science:information systems,expected inaugust 2017-university of utah, david eccles school of business-salt lake city,utahgpa:status-information systems data science and analytics specialization -> recipient of $15,000 graduate fellowship from david eccles school of business academic capstone project - big data -> building statistical regression and classification models, cleaning, exploring data and developing interactive web interface using r shiny, which helps the company to classify clients loan type and predicting the amount of loan they will take in future kaggle - house prices predictions -> applied different machine learning simple and advanced models on housing predictors for predicting the sales prices of houses, used imputation methods for filling missing and null values in the data set independent study & research - apache spark using scala and python rajeev gandhi memorial college of engineering and technology indiabachelor of science:computer science and engineering,expected inmay 2012--,gpa:status-computer science and engineering designed `hand draw shape recognition' interface which helps the user to invoke desired application just by drawing the shape, , apache, big data, business intelligence, draw, clients, data mining, databases, database, e-business, edit, erp, filling, drawing, java, machine learning, excel, middleware, mysql, nlp, networks, neural, oracle, /sql, postgresql, programming, python, reporting, research, sales, servers, scripts, sql loader, tableau, tables, toad, type, validation, view.