8 Resultados
EXL Services
▷ (Busqueda Urgente) Data Analyst
- USD 1667 - 2500
Tu próximo desafío como Data Analyst / BI te espera. Se requiere conocimientos en SQL, Power BI.
Posted by
6 months ago
IQVIA
▷ Busqueda Urgente! Data Analyst
- USD 1667 - 2500
Increíble puesto disponible para Data Analyst / BI. Se requiere conocimientos en SQL, Power BI.
Posted by
6 months ago
EXL Services
(Solo Quedan 15h) Data Analyst
- USD 1667 - 2500
¡Gran oportunidad como Data Analyst / BI! Se requiere conocimientos en SQL, Power BI.
Posted by
6 months ago
CRISTINA HERRERA TALENTI S.A.S.
Analista Data Analitics Bogotá
- USD 1667 - 2500
Si eres Data Scientist, esta oferta es para ti. Se requiere conocimientos en Python, R, Power BI.
Posted by
6 months ago
Adaptive Teams
Python Data Support Specialist
- USD 1500 - 2000
Increíble puesto disponible para Data Scientist. Se requiere conocimientos en Python, Power BI.
Posted by
6 months ago
Michael Page Colombia
Master Data lead
- USD 1667 - 2500
Si eres Data Scientist, esta oferta es para ti. Se requiere conocimientos en Python, Power BI.
Posted by
6 months ago
Michael Page Colombia
Buen Sueldo: Master Data lead
- USD 1667 - 2500
¡Gran oportunidad como Data Scientist! Se requiere conocimientos en Python, Power BI, Azure Boards.
Posted by
5 months ago
ACEPALMA
Analista de Data
- USD 1667 - 2500
Increíble puesto disponible para Data Scientist. Se requiere conocimientos en Python, Power BI, DataBricks, SQL, Statistical Modelling, Predictive Modelling, Forecasting, Feature Engineering.
Posted by
5 months ago
EXL Services
Bogota, Colombia
▷ (Busqueda Urgente) Data Analyst
Posted by
Salario
USD 1667 - 2500
Contratación
Tiempo completo
¿Inglés?
Intermedio
Habilidades
- SQL
- Power BI
Responsabilidades
EXL (NASDAQ :EXLS) is a leading operations managementand analytics company that helps businesses enhance growth andprofitability in the face of relentless competition and continuousdisruption.Using our proprietary, award-winning Business EXLeratorFramework, which integrates analytics, automation, benchmarking,BPO, consulting, industry best practices and technology platforms,we look deeper to help companies improve global operations, enhancedata-driven insights, increase customer satisfaction, and managerisk and compliance.EXL serves the insurance, healthcare, bankingand financial services, utilities, travel, transportation andlogistics industries.Headquartered in New York, New York, EXL hasmore than 40,000 professionals in locations throughout the UnitedStates, Europe, Asia (primarily India and Philippines), LatinAmerica (Mexico City and Bogota), Australia and South Africa.EXLAnalytics provides data-driven, action-oriented solutions tobusiness problems through statistical data mining, cutting-edgeanalytics techniques and a consultative approach.Leveragingproprietary methodology and best-of-breed technology, EXL Analyticstakes an industry-specific approach to transform our clients’decision-making and embed analytics more deeply into their businessprocesses.Our global footprint of nearly 4,000 data scientists andanalysts assist client organizations with complex risk minimizationmethods, advanced marketing, pricing and CRM strategies, internalcost analysis, and cost and resource optimization within theorganization.EXL Analytics serves the insurance, healthcare,banking, capital markets, utilities, retail and e-commerce, travel,transportation and logistics industries.Role &Responsibilities Overview : 1. Play a crucial role in implementing,improving and maintaining SQL / SAS and Power BI-based solutions.2.Partner with product analysts, data scientists, business users,clients and others to understand their needs and come up with anend-to-end solution.3. Translate business requirements toactionable data tasks. 4. Design and develop scalable turn-key ETLpipelines. 5. Strong knowledge of RDBMS & Data Warehousingconcepts.Hands-on experience in SQL and SAS. 6. Create data modelfor BI / Analytics needs that will help the customer answer businessquestions for identified use case.Candidate Profile : 1.Bachelor’s / Master's degree in economics, mathematics, computerscience / engineering, operations research or related analyticsareas;candidates with BA / BS degrees in the same fields from thetop tier academic institutions are also welcome to apply. 2. 2+Years of relevant work experience in SAS and SQL.3. Power Bi isgood to have. 4. Working experience in the Insurance domain is goodto have. 5. Experience in working in dual shore engagement and musthave experience in managing clients directly.6. Strong record ofachievement, solid analytical ability, and a hands-onentrepreneurial approach to work. 7. Outstanding written and verbalcommunication skills.8. Able to work in a fast pace, continuouslyevolving environment and ready to take up uphill challenges. 9. Canunderstand cross cultural differences and can work with clientsacross the globe.What we offer :1. EXL Analytics offers anexciting, fast-paced and innovative environment, which bringstogether a group of sharp and entrepreneurial professionals who areeager to influence business decisions.From your very first day,you get an opportunity to work closely with highly experienced,world-class analytics consultants.2. You can expect to learn manyaspects of businesses that our clients engage in. You will alsolearn effective teamwork and time-management skills - key aspectsfor personal and professional growth.3. Analytics requiresdifferent skill sets at different levels within the organization.At EXL Analytics, we invest heavily in training you in all aspectsof analytics as well as in leading analytical tools and techniques.4. We provide guidance / coaching to every employee through ourmentoring program wherein every junior-level employee is assigned asenior-level professional as an advisor.5. Sky is the limit forour team members. The unique experiences gathered at EXL Analyticssets the stage for further growth and development in our companyand beyond.6. Top-notch benefits program for our employees. 7. Thework arrangement would be hybrid. #J-18808-Ljbffr
Requisitos
SQL, SAS, Power BI, RDBMS, Data Warehousing, Data Modeling, ETL Pipelines, Data Science, Analytics, Business Intelligence